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. 2018 May 1;220:3–9. doi: 10.1016/j.fcr.2016.04.016

Screening African rice (Oryza glaberrima) for tolerance to abiotic stresses: I. Fe toxicity

M Sikirou a,b, A Shittu c, KA Konaté d, AT Maji e, AS Ngaujah f, KA Sanni b,1, SA Ogunbayo g,2, I Akintayo g, K Saito b, KN Dramé h, A Ahanchédé a, R Venuprasad c,⁎
PMCID: PMC5890384  PMID: 29725158

Abstract

Iron (Fe) toxicity is recognized as one of the most widely spread soil constraints for rice production especially in West Africa. Oryza glaberrima the cultivated rice species that originated from West Africa is well-adapted to its growing ecologies. The aim of this study was to identify the promising O. glaberrima accessions tolerant to Fe toxicity from the 2106 accessions held at the AfricaRice gene bank. The screenings were conducted over a four-year period and involved evaluating the entries under Fe-toxic field conditions in West Africa, selecting good yielding accessions and repeating the testing with newly selected lines. Three accessions (TOG 7206, TOG 6218-B and TOG 7250-A) were higher yielding than O. sativa checks under stress but with similar yields under control conditions. These accessions yielded over 300 g/m2 under both Fe toxicity and control conditions. In conclusion, these materials could be used as donors in breeding programs for developing high yielding rice varieties suited to Fe toxicity affected areas in West Africa.

Keywords: High yield, New donors, Hotspots, West africa, Lowland rice

1. Introduction

Oryza glaberrima (genome AA, 2n = 24), the African rice, is one of the two cultivated rice species. It was the only rice species cultivated in Africa until the Portuguese introduced O. sativa from Asia (Linares, 2002). Since its introduction, O. sativa (Asian rice) has steadily replaced O. glaberrima and it is estimated that as of year 2000 <15% of the rice growing area was planted to O. glaberrima (WARDA, 1993, Linares, 2002). O. sativa is considered to be high-yielding and responsive to inputs but not well adapted to African conditions, while O. glaberrima is considered to be well adapted to African conditions but with a lower yield potential than O. sativa (Linares, 2002). Farmers continue to grow O. glaberrima in the harshest environments in West Africa (Jones et al., 1993).

O. glaberrima is considered as a rich reservoir of genes for tolerance to various biotic and abiotic stresses (WARDA, 1993, Jones et al., 1997, Sarla and Mallikarjuna Swamy, 2005, Futakuchi et al., 2012). However, in the literature most of the conclusions that are drawn about O. glaberrima species are based on studying only a few accessions. Although about 2500 O. glaberrima accessions are conserved at the Africa Rice Center (AfricaRice), intra-specific variation within O. glaberrima using the entire collection has rarely been investigated. There are only a few studies on genetic diversity based on field phenotyping (Jones et al., 1997, Ndjiondjop et al., 2012, Montcho et al., 2013). Furthermore, only a limited number of O. glaberrima accessions have been used in rice breeding programs. CG 14 and TOG 5681 are two O. glaberrima accessions which have been used as parents in developing New Rice for Africa (NERICA) varieties that have been adopted for cultivation in many countries in Africa (Somado et al., 2008, Sie, 2008). Lack of enough information on intraspecific variation within O. glaberrima is one of the main impediments to its use in breeding. Thus, it is important that the genetic variation within O. glaberrima for tolerance to various stresses are assessed and best-performing accessions be identified for use in breeding.

In Africa, rainfed lowlands occupy 40% of the total rice area (Seck et al., 2012). The average productivity of rainfed lowlands is quite low (1.5–2 t/ha) (GRiSP, 2013). One main reason for this low productivity is the prevalence of many stresses (Diagne et al., 2013, Saito et al., 2013). Among the several abiotic stresses affecting rice productivity, the most significant is Fe toxicity which is the most widely spread nutritional disorder in the lowlands of West Africa (Audebert, 2006, Sikirou et al., 2015). Up to 60% of the rice growing area is said to be affected by Fe toxicity in West African countries, resulting in an average yield loss of 50% (WARDA, 2002, Audebert and Fofana, 2009). Utilization of varieties with superior tolerance to Fe toxicity is the most economically viable option for resource limited farmers in affected areas. Sahrawat and Sika (2002) pointed out that O. glaberrima could be a good source of tolerance to Fe toxicity. However, only a limited number of accessions have been tested and only a few has been identified as tolerant, including CG 14 (Sahrawat and Sika, 2002) and TOG 5681 (Dramé et al., 2010). Further studies are required to fully exploit the genetic diversity for Fe toxicity tolerance in O. glaberrima.

In this study we systematically evaluated 2106 O. glaberrima accessions held by the AfricaRice gene bank for tolerance to Fe toxicity under field conditions in West Africa. The aim of this study was to identify, based on grain yield under stress, the most promising O. glaberrima accessions that could be used in breeding program for improved Fe toxicity tolerance.

2. Material and methods

2.1. Screening sites

Four Fe-toxic hotspots were selected in four different countries of West Africa, namely: Edozhigi in Nigeria, Valley du Kou in Burkina Faso, Suakoko in Liberia and Rokupr in Sierra Leone (Table 1). It has been reported that the Fe toxicity at these sites is so severe that susceptible rice varieties exhibit severe bronzing and completely die. These sites were characterized by high soil Fe-content (>295 mg kg−1) and acidic pH (pH 4.3–6.1) (Table 1). In addition to these four sites, a lowland rice field in IITA, Ibadan, Nigeria was used as the control site.

Table 1.

Soil characteristics of the different sites used in this study.

Locations Conditions Texture pH(H2O) Fe Content Latitude and Longitude References
Edozhigi, Nigeria Fe-toxic clay loam 4.3 1230 mg kg−1 9°4′ 38.47 N 6°3′ 6.73” E Abah et al. (2012)
Suakoko, Liberia Fe-toxic Sandy loam 5.2 489 mg kg−1 7°00′ 33” N 9°34′ 34” W AfricaRice (unpublished data)
Valley du Kou, Burkina Faso Fe-toxic Silt loam 6.1 295 mg kg−1 11°11′ 30” N 4°18 36” W Narteh and Sahrawat (1999)
Rokupr, Sierra Leone Fe-toxic Clay 5.7 548 mg kg−1 9°00′ 42” N 12°57′ 13” W AfricaRice (unpublished data)
Ibadan, Nigeria Control Clay 7.0 84 mg kg−1 7°25′ 56” N 4°00′ 07” E Ande (2014)
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2.2. Plant materials

O. glaberrima accessions were obtained from the gene bank of the Africa Rice Center (AfricaRice, 2015) at Cotonou, Benin Republic. The set included the two O. glaberrima parents of NERICA varieties (CG 14 and TOG 5681). Two rice varieties popular in rainfed lowlands in Nigeria (WITA 4 and NERICA-L 19) were considered as checks and these are known to perform well under Fe toxicity conditions (Dramé et al., 2010, Sikirou et al., 2015). WITA 4 is an O. sativa variety while NERICA-L 19 is an interspecific derivative of a cross between IR 64 (O. sativa) and TOG 5681 (O. glaberrima).

2.3. Screening of O. glaberrima accessions

2.3.1. Preliminary screening

The first evaluation was conducted in the wet season (WS) of 2011. The 2106 O. glaberrima accessions and checks were seeded in a nursery at Edozhigi, a Fe toxic hotspot in Niger state, Nigeria (Table 1). Out of the 2106 accessions, 1732 germinated and were transplanted in the main field as an un-replicated trial. The remaining 374 did not germinate due to either strong dormancy or loss of viability. The trial was laid out in 58 blocks with 30 plots (entries) in each block. At maturity stage, 253 accessions were selected based on visual yield assessment and only those accessions were harvested to determine actual grain yield. Accessions which had late flowering (>110 days after seeding), severe lodging (plant height above 160 cm) or severe shattering were eliminated prior to selection. As the number of entries was large and the experiment was un-replicated, selection was done within blocks to control for spatial variation. About five entries per block were selected and the 253 selected accessions were grouped into a set for further testing. Large ranges in trait values for grain yield (32–564 g/m2; average was 263 g/m2), days to flowering (67–102 days), plant height (83–160 cm) and tiller no. (4–26) were observed in this selected set. Among these, 206 accessions had higher yield than the best check (WITA 4; 135 g/m2). CG 14 was rejected due to its poor performance while TOG 5681 was selected.

2.3.2. Replicated screening

The 253 accessions selected from previous study and standard checks were screened again in 2012 WS in Fe-toxic conditions at Edozhigi. Table 2 shows the geographical distribution of the 253 selected accessions of O. glaberrima used in this study (AfricaRice, 2015). Accessions with height above 150 cm and days to flowering of over 140 DAS were eliminated before selection in Edozhigi in 2012.

Table 2.

Geographical origin of the Oryza glaberrima accessions selected for Fe toxicity tolerance.

Country of origin Number of accessions tested per year
2012 2013 2014
Burkina-Faso 5 1 –
Chad 2 1 1
Côte d'Ivoire 9 2 –
Gambia 2 – –
Ghana 3 – –
Guinea 30 7 4
Guinea-Bissau 3 – –
Liberia 75 5 1
Mali 66 18 8
Madagascar 1 – –
Nigeria 37 7 2
Senegal 9 2 –
Sierra Leone 1 – –
Togo 1 1 1
Unknown 9 3 1



Total 253 47 18
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Based on grain yield in 2012 at Edozhigi, 44 best accessions were selected for multi-location trials and three standard checks were screened along four different Fe-toxic hotspots in four countries in West Africa in 2013 WS (Table 1). A control trial was conducted in Ibadan. Based on grain yield and leaf bronzing score (LBS), the 18 best accessions were chosen in Edozhigi in 2013. Accessions with days to flowering of over 125 DAS and plant height above 150 cm under stress were excluded from the selections.

The 18 accessions selected in 2013 were again re-evaluated in Edozhigi, Nigeria in the WS of 2014.

2.4. Experimental design and trial management

All the replicated trials were laid out in an alpha lattice with two replications except the 2014 trial in Edozhigi which had three replications. In all trials, plots comprised a single row of 3-m except in 2014 when two rows were planted. The distance between plots was 20 cm.

The seedlings were raised in a nursery and 21 day-old seedlings were transplanted. Two seedlings were transplanted per hill at a spacing of 20 cm between rows and between hills. NPK (15:15:15) compound fertilizer was applied at 200 kg/ha before transplanting. Two additional splits of urea were top-dressed each at the rate of 50 kg/ha at 42 days after seeding (DAS) and 56 DAS respectively. Approximately 5 cm of standing water was maintained in the field until harvest. The plots were weeded twice to avoid weed infestation.

2.5. Data collection

Crop characteristics such as leaf bronzing score (LBS), number of tillers per hill, days to flowering, plant height at maturity and grain yield per plot were collected at the appropriate growth stage of rice plant following the Standard Evaluation System (SES) of rice (IRRI, 2002). The leaf bronzing score was expressed on a 0–9 scale, (where 0 = normal or nearly normal plant; 9 = nearly dead or dead plant) and was scored at 80 days after seeding (DAS). Days to flowering was recorded when 50% of the plants in the plot started to flower. Plant height was measured at maturity as the average distance from the ground to the tip of the longest panicle of three plants randomly selected in each plot. Tiller number was recorded as the average number of tillers from three randomly selected hills in a plot. For each plot, panicles were harvested, dried, threshed and grains cleaned and weighed. Grain yield was calculated as the weight of filled grains per plot adjusted to 14% moisture content. Grain yield data were only collected from trials conducted in Edozhigi and Ibadan during 2012–2014. LBS and plant height were not recorded at Rokupr, Sierra Leone, while, days to flowering and plant height were not recorded at Valley du Kou, Burkina Faso.

2.6. Statistical analysis

Analysis of variance was done using REML option of the MIXED procedure of Genstat discovery edition 4th. Least squares means of accessions within location was generated and they were separated using LSD (P < 0.05). Genotypes were considered as fixed effects while replications and block within replications were considered as random effects. Variance components for each trial were estimated using the REML option of the VARCOMP procedure where all factors were considered to be random. Broad sense heritability (H) was computed from variance components as:

H=σG2σG2+σE2r

where σ2G is the genetic variance, σ2E is the error variance, and r the number of replications.

Genetic correlations between two traits measured in the same environment within the same trial were calculated as follows:

rG12=Cov12σG12xσG22

(Bernado, 2010) where rG12, Cov12, σG12 and σG22 are the genetic correlation coefficient between traits 1 and 2 within the same trial, genetic covariance of traits 1 and 2, and the genotypic variances of traits 1 and 2, respectively.

3. Results

3.1. Performance of O. glaberrima accessions under Fe toxicity and control conditions

Highly significant differences among entries were observed for grain yield in both Fe-toxic (Edozhigi) and control (Ibadan) conditions in Nigeria during 2012–14 (Table 3). High heritability (H between 0.52 and 0.94) was observed both in stress and control trials. The mean grain yield of O. glaberrima accessions in stress trials was 233 g/m2 while under control conditions it was 298 g/m2 in 2013. In all the stress trials the best yielding O. glaberrima accession significantly out-yielded the best O. sativa check. However, under control conditions the yield of the best yielding accession of O. glaberrima was on par with the best O. sativa check. Grain yield of TOG 5681 was on par with O. sativa checks in both stress and control conditions. In the 2012 stress trial, six accessions significantly out-yielded the best O. sativa check (WITA 4; 248 g/m2), while in the 2013 stress trial only two accessions had significantly higher yield than the best check (WITA 4). In 2013 average grain yield under stress was lower than that in the control treatment by 23%. About 20% of the entries had a yield reduction of over 50% in the stress trial compared to the control trial and about 20% of the entries showed higher yield under stress than in the control (data not shown). Six accessions had higher yield than WITA 4 across the two trials in 2013. In 2014 trial four accessions significantly out-yield the best O. sativa check (NERICA-L 19).

Table 3.

Grain yield of Oryza glaberrima accessions selected under Fe toxicity and checks under control and Fe-toxic conditions during 2012–14.

Genotype Grain yield (g m−2)
Control Fe Toxicity
Ibadan, Nigeria (2013 WS) Edozhigi, Nigeria (2012 WS) Edozhigi, Nigeria (2013 WS) Edozhigi, Nigeria (2014 WS)
O. glaberrima
Number of genotypes 44 253 44 18
Min 70 32 74 161
Max 520 544 464 430
Mean 298 213 233 277



Selections
 TOG 7206 495 428 302 430
 TOG 14367 480 305 157 411
 TOG 7250-A 360 468 433 365
 TOG 6218-B 330 437 464 343



Checks
WITA 4 (O. sativa) 450 248 263 294
NERICA-L 19 (Interspecific) Na 228 131 304
TOG 5681 (O. glaberrima) 452 357 147 Na



P <0.0001 <0.001 <0.01 <0.001
LSD (0.05) 145 204 169 20
Heritability 0.80 0.52 0.55 0.94
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na not available.

Table 4 shows the leaf bronzing score of accessions at 80 DAS in five Fe-toxic sites. Significant differences (P < 0.001) were observed among accessions in Edozhigi during the WS 2014; in “Valley du Kou” and in Suakoko during the WS of 2013. Average heritability (H) across trials for LBS was about 0.5 and ranged from 0.11 to 0.73. Heritability was lower in the 2012 trial where the number of entries was higher. The mean LBS ranged from 2 to 5 across the trials. The LBS score of some O. glaberrima accessions were either higher, on par or lower than the LBS score of O. sativa checks. The LBS at Edozhigi varied from year to year (Table 4).

Table 4.

Varietal means for leaf bronzing score of the Oryza glaberrima accessions selected under Fe toxicity and check varieties in three different Fe-toxic hotspots at 80 days after sowing during 2012–14.

Genotype Leaf bronzing score
Edozhigi, Nigeria (2012 WS) Edozhigi, Nigeria (2013 WS) Valley du Kou, Burkina Faso (2013 WS) Suakoko, Liberia (2013 WS) Edozhigi, Nigeria (2014 WS)
O. glaberrima
Number of genotypes 253 44 44 44 18
Min 3 1 2 3 1
Max 7 3 4 6 4
Mean 5 2 3 4 2



Selections
 TOG 7206 4 2 3 5 2
 TOG 14367 5 2 1 2 1
 TOG 7250-A 4 2 3 5 2
 TOG 6218-B 4 2 1 4 1



Checks
WITA 4 (O. sativa) 5 3 2 3 5
NERICA-L 19 (Interspecific) 5 3 3 3 4
TOG 5681 (O. glaberrima) 4 2 3 4 na



P 0.12 0.34 <0.001 <0.001 <0.001
LSD (0.05) 2 1 2 1 2
Heritability 0.11 0.32 0.60 0.73 0.67
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na not available.

3.2. Performance of selections over sites

In the 2014 stress trial four entries (TOG 7206, TOG 14367, TOG 7250-A, TOG 6218-B) significantly out-yielded the checks (Table 3). These lines were selected and their performance was compared across trials in Edozhigi during 2012–14. The four selections yielded either significantly better or were on par with the O. sativa checks in all the stress and control trials. Similarly, the four selections either significantly out-yielded TOG 5681 or were on par with it in stress and control trials.

Three accessions (TOG 7206, TOG 7250-A and TOG 6218-B) out of the four have recorded consistently higher yield than the best check in stress trials in all the years. They showed both high yield potential and stress tolerance. The three accessions, TOG 7206, TOG 7250-A and TOG 6218-B were from Côte d’Ivoire, Burkina Faso and Mali respectively.

3.3. Genetic correlation

Genetic correlation between yield and other traits in three trials at Edozhigi (Fe toxic site) and one trial in Ibadan (control site) were estimated (Table 7). In Edozhigi in 2012, when number of entries was higher, grain yield and LBS was significantly negatively correlated. No such correlation was observed in 2013 and 2014 trials. Similarly, in Edozhigi in 2012 grain yield was significantly positively correlated with days to 50% flowering and plant height but no such correlation was observed in 2013 and 2014. At Ibadan (control) in 2013, grain yield was significantly negatively correlated to days to 50% flowering.

Table 7.

Genetic correlations between grain yield and others traits under Fe-toxic (Edozhigi, Nigeria) and control (Ibadan, Nigeria) conditions in three years.

Grain yield
Fe toxicity
 Control
Traits Edozhigi, Nigeria (2012 WS) Edozhigi, Nigeria (2013 WS) Edozhigi, Nigeria (2014 WS) Ibadan, Nigeria (2013 WS)
Days to flowering 0.32** −0.16ns 0.13ns −0.40**
Plant height 0.34** 0.02ns −0.16ns −0.02ns
Leaf bronzing score −0.25** 0.01ns −0.04ns –
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ns not significant.

*significant at p < 0.05. 

**

Significant at p < 0.01.

4. Discussion

In this study we systematically evaluated the O. glaberrima germplasm held at AfricaRice’s gene bank for Fe toxicity tolerance and identified high-yielding accessions that could be used in rice breeding programs. Out of 2106 accessions tested, we selected three promising accessions that can be used as parental materials for breeding for tolerance to Fe toxicity. This is the first study reporting a systematic and extensive screening of O. glaberrima accessions for Fe toxicity tolerance.

O. glaberrima is generally considered as low yielding compared to O. sativa (Linares, 2002, Guei et al., 2004). Its low yield potential is mainly due to low spikelet no., grain shattering, and lodging (WARDA, 1993, Jones and Singh, 1999, Montcho, 2013). One report states that in West African conditions, with O. glaberrima, yields of up to 5 t/ha are possible in irrigated fields (Futakuchi and Jones, 2005). In this study we observed that in all the yield trials, including in stress and irrigated conditions, the best accession always yielded above 400 g m−2 and at least in a few cases some O. glaberrima accessions yielded above 500 g m2 (Table 3). At least 10% of the O. glaberrima accessions in a trial yielded higher than the best O. sativa check (data not shown). The best yielding O. glaberrima accessions in each trial either significantly out-yielded the checks or were at least on par with them but never inferior. In two out of three years, under Fe stress, the best O. glaberrima accession yielded at least twice as much as the best O. sativa check (Table 3). This clearly demonstrates that O. glaberrima accessions are not necessarily lower yielding than O. sativa and that they possess higher Fe toxicity tolerance than some of the popular O. sativa cultivars.

O. glaberrima is considered to have a narrow genetic base (McCouch et al., 2013). Molecular analysis has revealed that genetic variability in O. glaberrima is lower than in O. sativa (Second, 1984, Wang et al., 1992, Ishii et al., 2001, Wang et al., 2014). In this study, we observed considerable phenotypic variations within O. glaberrima for most of the phenotypic traits measured. There was still significant variation in the final trial in Edozhigi, even with just 18 accessions.

We have strongly selected for higher yield under stress (Fe toxicity) and control conditions and lower LBS under stress. During the process we have also selected against strong dormancy, poor vigor and seed viability, high lodging, severe shattering, and strong photosensitivity (data not shown). At the main selection environment (Edozhigi, Nigeria), the average grain yield of O. glaberrima accessions increased from 213 to 277 g/m2 (Table 3). At the same time, LBS reduced from 5 to 2, days to flowering reduced from 108 days to 81 days and plant height reduced from 121 cm to 112 cm (Table 4, Table 5, Table 6). Three accessions TOG 7206, TOG 6218-B and TOG 7250-A were identified as consistently high-yielding under Fe toxicity (yielding between 300–468 g/m2; Table 3). The selected lines are shown to have high yield under irrigated conditions, as well (yielding between 330–500 g/m2; Table 3). TOG 7206 was the highest yielder in the final screening under stress during 2014 WS, it significantly out-yielding the other O. glaberrima selections and the O. sativa checks. TOG 7250-A significantly out-yielded the O. sativa checks under stress in three out of the four seasons. Similarly, TOG 6218-B significantly out-yielded the O. sativa checks under stress in two out of the four seasons and in 2013 season it out-yielded NERICA-L19 but not WITA 4. TOG 7250-A and TOG 6218-B significantly out-yielded TOG 5681 under stress in 2013 WS. The accessions in the last trial in Edozhigi in 2014 selected were similar to O. sativa checks in terms of days to flowering (79–96 days; Table 5) and plant height (111–123 cm; Table 6). Besides, they did not show lodging or strong dormancy in any of the trials. Shattering was not a problem if the plants were harvested on time (data not shown). Thus we can conclude that these accessions were not agronomically inferior. These accessions should be useful as donors in breeding for enhanced yield under Fe toxicity conditions. They can be used in interspecific breeding in combination with O. sativa or in intraspecific breeding with other O. glaberrima accessions. Alternatively, if found suitable upon extensive testing they can be recommended as varieties in the Fe-toxic areas where farmers are abandoning rice cultivation due to a lack of varietal options.

Table 5.

Varietal means for days to flowering of the Oryza glaberrima accessions selected under Fe toxicity and check varieties in control and Fe-toxic conditions during 2012–14.

Genotype Days to flowering
Control Fe toxicity
Ibadan, Nigeria (2013 WS) Edozhigi, Nigeria (2012 WS) Edozhigi, Nigeria (2013 WS) Suakoko, Liberia (2013 WS) Rokupr, Sierra Leone (2013 WS) Edozhigi, Nigeria (2014 WS)
O. glaberrima
No. of genotypes 44 253 44 44 44 18
Min 87 89 72 106 84 72
Max 129 137 149 177 96 97
Mean 105 111 108 149 94 81



Selections
 TOG 7206 101 114 113 147 98 85
 TOG 14367 122 129 125 176 96 96
 TOG 7250-A 99 114 104 142 95 79
 TOG 6218-B 100 112 104 133 91 80



Checks
WITA 4 (O. sativa) 110 111 106 100 92 97
NERICA-L 19 (Interspecific) 100 104 96 103 80 90
TOG 5681 (O. glaberrima) 89 96 92 Na 89 Na



P <0.0001 <0.001 <0.001 <0.001 <0.01 <0.0001
LSD (0.05) 4 4 13 31 9 2
Heritability 0.92 0.94 0.89 0.60 0.53 0.94
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na not available.

Table 6.

Varietal means for plant height of the Oryza glaberrima accessions selected under Fe toxicity and check varieties in control (Ibadan) and Fe-toxic conditions (Burkina Faso, Liberia, and Nigeria) during 2012–14.

Genotype Plant height (cm)
Control Fe toxicity
Ibadan, Nigeria (2013 WS) Edozhigi, Nigeria (2012 WS) Edozhigi, Nigeria (2013 WS) Suakoko, Liberia (2013 WS) Edozhigi, Nigeria (2014 WS)
O. glaberrima
No. of genotypes 44 253 44 44 18
Min 124 88 107 101 93
Max 170 159 168 128 157
Mean 151 121 131 119 112



Selections
 TOG 7206 157 134 132 134 117
 TOG 14367 164 139 131 122 123
 TOG 7250-A 144 128 134 120 111
 TOG 6218-B 149 123 143 121 111



Checks
WITA 4 (O. sativa) 127 104 100 89 105
NERICA-L 19 (Interspecific) 152 131 129 106 121
TOG 5681 (O. glaberrima) 124 112 102 120 Na



P <0.0001 <0.001 <0.001 <0.05 <0.001
LSD (0.05) 6 24 6 25 3
Heritability 0.91 0.57 0.93 0.42 0.94
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na not available.

In O. sativa significant negative correlation between grain yield and leaf bronzing score (LBS) is generally observed (Sikirou et al., 2015). LBS is often considered as a good secondary trait in breeding for Fe toxicity tolerance. However, the level of correlation between the two traits in O. sativa depends on stress intensity, testing condition, and type and number of varieties used (Audebert and Fofana, 2009). Similarly, we found significant negative correlation between grain yield and LBS while evaluating a larger number of the O. glaberrima accessions under stress (Table 7). This correlation was not observed when evaluating a smaller but highly selected set.

One main challenge in using O. glaberrima in interspecific breeding with O. sativa is the problem of sterility (Pham and Bougerol, 1993, Ghesquiere et al., 1997). However, in many cases the sterility barrier can be overcome with backcrossing. Breeding lines can be used to significantly improve fertility while crossing the two species (Deng et al., 2010, Lorieux et al., 2013). The backcrossing approach was used in the development of lowland NERICA varieties (Sie, 2008); NERICA-L 19, a variety tolerant to Fe toxicity, is an interspecific line released in many West African countries. It is a BC3F4 line derived from IR64 (a Fe toxicity susceptible O sativa used as recurrent parent) and TOG 5681. Thus, a relatively small amount of introgression of O. glaberrima into O. sativa has generated a tolerant line. Use of the new O. glaberrima donors in breeding can potentially generate much more valuable lines. Potential returns from adoption of such stress tolerant varieties are huge in Africa (Jones et al., 2001).

5. Conclusion

In this study, significant genotypic variation for Fe toxicity tolerance was found within the O. glaberrima species. Three accessions with high yield potential and Fe toxicity tolerance that are stable across different environments were identified. These accessions TOG 7206, TOG 6218-B 6 and TOG 7250-A can be used in breeding Fe toxicity tolerant rice varieties.

Acknowledgements

This study was funded by the Ministry of Foreign Affairs, Japan and Bill & Melinda Gates Foundation through STRASA and RAM projects. We appreciate the technical assistance provided by NGuessan Kouame and all NARS Technicians in conducting these experiments.

References

  1. Abah J., Umar A., Bashir M., Dramé K.N., Manneh B., Abo M.E., Sie M. Soil characteristics of three iron toxic sites in Nigeria. J. Sci. Multidiscip. Res. 2012;4:68–72. [Google Scholar]
  2. AfricaRice (Africa Rice Center), 2015. http://eservices.africarice.org/argis/rech.php, (accessed 24.06.15.).
  3. Ande O.T. Soil characterisation and pollution assessment in agrarian floodplain of Ibadan peri-urban in south western Nigeria. J. Agric. Environ. Manage. 2014;3:189–196. [Google Scholar]
  4. Audebert A., Fofana M. Rice yield gap due to iron toxicity in West Africa. J. Agron. Crop Sci. 2009;195:66–76. [Google Scholar]
  5. Audebert A. Iron toxicity in rice—environmental conditions and symptoms. In: Audebert A., Narteh L.T., Kiepe P., Millar D., Beks B., editors. Iron Toxicity in Rice-based System in West Africa. WARDA; Cotonou: 2006. pp. 18–33. [Google Scholar]
  6. Bernado R. Variation in breeding populations. In: Woodburn M.N., editor. Breeding for Quantitative Traits in Plants. Stemma Press; 2010. pp. 115–143. [Google Scholar]
  7. Deng X.N., Zhou J.W., Xu P., Li J., Hu F.Y., Tao D.Y. The role of S1-g allele from Oryza glaberrima in improving interspecific hybrid sterility between O. sativa and O. glaberrima. Breed. Sci. 2010;60:342–346. [Google Scholar]
  8. Diagne A., Alia D., Amovin-Assagba E., Wopereis M.S.C., Saito K. Farmer perceptions of the biophysical constraints to rice production in sub-Saharan Africa, and potential impact of research. In: Wopereis M.C.S., Johnson D.E., Ahmadi N., Tollens E., Jalloh A., editors. Realizing Africa’s Rice Promise. CABI; 2013. pp. 46–68. [Google Scholar]
  9. Dramé, K.N., Saito, K., Koné, B., Chabi, A., Dakouo, D., Ebenezer, Annan-Afful E., Monh, S., Abo, E., Sié, M., 2010. Coping with iron toxicity in the lowlands of sub-Saharan Africa: Experience from Africa Rice Center. In AfricaRice ed., Innovation and Partnerships to Realize Africa’s Rice Potential., Proc. 2nd Africa Rice Congress, 22–26 March 2010, AfricaRice, Bamako, pp. 191–198.
  10. Futakuchi K., Jones M.P. Yield performance of upland interspecific Oryza sativa x O. glaberrima progenies under different growing ecologies. Jpn. J. Crop Sci. 2005;74:34–35. [Google Scholar]
  11. Futakuchi K., Sié M., Saito K. Yield potential and physiological and morphological characteristics related to yield performance in Oryza glaberrima Steud. Plant Prod. Sci. 2012;15:151–163. [Google Scholar]
  12. GRiSP, 2013. Rice Almanac, 4th edition. International Rice Research Institute, Los Baños, p. 1–283.
  13. Ghesquiere A., Sequier J., Second G., Lorieux M. First steps towards a rational use of African rice, Oryza glaberrima, in rice breeding through a ‘contig line’ concept. Euphytica. 1997;96:31–39. [Google Scholar]
  14. Guei R.G., Abamu F.J., Karim T., Naman S. Genetic variability in morphological and physiological traits within and among rice species and their interspecific progenies. Agron. Afr. 2004;16:15–32. [Google Scholar]
  15. IRRI, 2002. Standard Evaluation System for Rice (SES). IRRI, Los Baños, Lagunas, Philippines.
  16. Ishii T., Xu Y., McCouch S.R. Nuclear- and chloroplast-microsatellite variation in A-genome species of rice. Genome. 2001;44:658–666. [PubMed] [Google Scholar]
  17. Jones M.P., Singh B.N. Basic breeding strategies for high-yielding rice varieties at WARDA. In: Horie T., Geng S., Amano T., Inamura T., Shiraiwa T., editors. World Food Security and Crop Production Technologies for Tomorrow. Graduate School of Agriculture Kyoto University; Kyoto, Japan: 1999. pp. 133–136. [Google Scholar]
  18. Jones M.P., Heinrichs E.A., Johnson D.E., Riches C. West Africa Rice Development Association; Mbé, Bouaké, Côte d’ivoire: 1993. Characterization and Utilization of Oryza glaberrima in Upland Rice Improvement. Annual Report; pp. 3–5. [Google Scholar]
  19. Jones M.P., Dingkuhn M., Aluko G.K., Semon M. Interspecific O. sativa L. x O. glaberrima Steud. progenies in upland rice improvement. Euphytica. 1997;92:237–246. [Google Scholar]
  20. Jones M., Yacouba S., Nwilene F., Beye A., Dobo M., Jalloh A. Oryza glaberrima x Oryza sativa interspecifics for africa. In: Rockwood W.G., editor. Rice Research and Production in the 21st Century. IRRI; Los Baños, Phillippines: 2001. pp. 136–149. [Google Scholar]
  21. Linares O.F. African rice (Oryza glaberrima): history and future potential. Proc. Natl. Acad. Sci. 2002;99:16360–16365. doi: 10.1073/pnas.252604599. [DOI] [PMC free article] [PubMed] [Google Scholar]
  22. Lorieux M., Garavito A., Bouniol J., Gutiérrez A., Ndjiondjop M.N., Guyot R., Pompilio Martinez C., Tohme J., Ghesquière A. Unlocking the Oryza glaberrima treasure for rice breeding in Africa. In: Wopereis M.C.S., Johnson D.E., Ahmadi N., Tollens E., Jalloh A., editors. Realizing Africa’s Rice Promise. CAB International; Wallingford, UK: 2013. pp. 130–143. [Google Scholar]
  23. McCouch S., Wing R.A., Semon M., Venuprasad R., Atlin G., Sorrels M.E., Jannink J.L. Making rice genomics work for Africa. In: Wopereis M.C.S., Johnson D.E., Ahmadi N., Tollens E., Jalloh A., editors. Realizing Africa’s Rice Promise. CAB International; Wallingford, UK: 2013. pp. 108–129. [Google Scholar]
  24. Montcho D., Futakuchi K.C.A., Semon M., Dieng I., Sie M. Morphological and phenological response of African rice (Oryza glaberrima Steud.) under different hydrological conditions. Asian J. Plant Sci. 2013;122:79–86. [Google Scholar]
  25. Montcho D. University of Abomey Calavi; Cotonou: 2013. Diversité génétique Et Adaptation Du Riz Africain (Oryza glaberrima Steud.) Aux Conditions Hydriques. Thèse De Doctorat FAST; pp. 1–197. [Google Scholar]
  26. Narteh L.T., Sahrawat K.L. Influence of flooding on electrochemical and chemical properties of West African soils. Geoderma. 1999;87:179–207. [Google Scholar]
  27. Ndjiondjop M.N., Seck P.A., Lorieux M., Futakuchi K., Yao K.N. Effect of drought on Oryza glaberrima rice accessions and Oryza glaberrima derived-lines. Asian J. Agric. Res. 2012;6:144–157. [Google Scholar]
  28. Pham J.L., Bougerol B. Abnormal segregations in crosses between two cultivated rice species. Heredity. 1993;70:466–471. [Google Scholar]
  29. Sahrawat K.L., Sika M. Comparative tolerance of Oryza sativa and O. glaberrima rice cultivars for iron toxicity in West Africa. Int. Rice Res. Notes. 2002;27:30–31. [Google Scholar]
  30. Saito K., Nelson A., Zwart S.J., Niang A., Sow A., Yoshida H., Wopereis M.C.S. Towards a better understanding of biophysical determinants of yield gaps and the potential for expansion of the rice area in Africa. In: Wopereis M.C.S., Johnson D.E., Ahmadi N., Tollens E., Jalloh A., editors. Realizing Africa’s Rice Promise. CABI; Wallingford, Oxford: 2013. pp. 188–203. [Google Scholar]
  31. Sarla N., Mallikarjuna Swamy B.P. Oryza glaberrima: a source for the improvement of Oryza sativa. Curr. Sci. 2005;89:955–963. [Google Scholar]
  32. Seck P., Diagne A., Mohanty S., Wopereis M.S. Crops that feed the world 7: rice. Food Secur. 2012;4:7–24. [Google Scholar]
  33. Second G. Institut Français de Recherche Scientifique pour le Développement en Coopération. Université de Paris—Sud, France; France: 1984. Relations évolutives chez le genre Oryza et processus de domestication des Riz; p. 190. [Google Scholar]
  34. Sie M. NERICA for the high-potential irrigated and rainfed lowlands. In: Somado E.A., Guei R.G., Keya S.O., editors. NERICA: The New Rice for Africa- a Compendium. Africa Rice Center (WARDA); Cotonou, Benin: 2008. pp. 19–26. [Google Scholar]
  35. Sikirou M., Saito K., Achigan-Dako E.G., Dramé K.N., Ahanchédé A., Venuprasad R. Genetic improvement of iron toxicity tolerance in rice—progress, challenges and prospects in West Africa. Plant Prod. Sci. 2015;18:423–434. [Google Scholar]
  36. Somado E.A., Guei R.G., Keya S.O. NERICA: origins, nomenclature and identification characteristics. In: Somado E.A., Guei R.G., Keya S.O., editors. NERICA: The New Rice for Africa- a Compendium. Africa Rice Center (WARDA); Cotonou, Benin: 2008. pp. 10–18. [Google Scholar]
  37. WARDA, 1993. (West Africa Rice Development Association) Annual report 2003 Mbé, Bouaké, Côte d’ivoire, 1–110.
  38. WARDA, 2002. (West Africa Rice Development Association), Annual Report 2001–02. Bouaké, Ivory Coast, pp. 1–1.
  39. Wang Z.Y., Second G., Tanksley S.D. Polymorphism and phylogenetic relationships among species in the genus Oryza as determined by analysis of nuclear RFLPs. Theor. Appl. Genet. 1992;83:565–581. doi: 10.1007/BF00226900. [DOI] [PubMed] [Google Scholar]
  40. Wang M., Yu Y., Haberer G., Marri P.R., Fan C., Goicoechea J.L., Zuccolo A., Song X., Kudrna D., Ammiraju J.S.S., Cossu R.M., Maldonado C., Chen J., Lee S., Sisneros N., de Baynast K., Golser W., Wissotski M., Kim W., Sanchez P., Ndjiondjop M.-N., Sanni K., Long M., Carney J., Panaud O., Wicker T., Machado C.A., Chen M., Mayer K.F.X., Rounsley S., Wing R.A. The genome sequence of African rice (Oryza glaberrima) and evidence for independent domestication. Nat. Genet. 2014;46:982–988. doi: 10.1038/ng.3044. [DOI] [PMC free article] [PubMed] [Google Scholar]

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