. 2012 Nov 4;126(3):583–600. doi: 10.1007/s00122-012-2003-7

Table 1.

Estimates of means, genetic variance components, heritability and phenotypic (r _p) and genotypic (r _g) correlations between grains yield (GY) and anthesis-silking interval (ASI) for families on the three populations in single and multi-environments

Env.	GY (t/ha)								ASI (days)								Correlations
Env.	Mean	Max	Min	\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$ \sigma_{\text{G}}^{2} $$\end{document}	\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$ \sigma_{\text{GEI}}^{2} $$\end{document}	\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$ \sigma^{2} $$\end{document}	\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$ h^{2} $$\end{document}	CV	Mean	Max	Min	\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$ \sigma_{\text{G}}^{ 2} $$\end{document}	\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$ \sigma_{\text{GEI}}^{2} $$\end{document}	\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$ \sigma^{2} $$\end{document}	\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$ h^{2} $$\end{document}	CV	r _p	r _g
CML444 × MALAWI
MWW	9.60	14.69	4.43	1.41	–	2.68	0.51	17.64	0.74	5.31	−1.48	0.25	–	0.78	0.39	127.88	−0.06^ns	−0.14^ns
ZWW	7.19	12.33	3.10	0.56	–	3.85	0.22	30.13	0.91	13.50	−1.00	0.05	–	0.67	0.13	91.01	−0.05^ns	−0.45**
MWS10	5.64	10.50	1.57	1.50	–	1.33	0.74	22.35	2.06	5.99	−2.47	0.65	–	2.29	0.36	74.23	−0.28**	−0.36**
MWS11	4.30	8.15	1.81	0.79	–	2.18	0.63	25.55	4.10	9.53	0.42	1.92	–	3.30	0.54	49.86	−0.51***	−0.87***
KWS	3.83	5.96	2.05	0.36	–	0.46	0.61	19.74	2.02	7.21	0.07	0.83	–	1.34	0.55	60.19	−0.40**	−0.67***
WW	8.58	11.60	5.54	0.14	0.56**	2.96	0.10	19.14	0.87	7.00	−0.75	0.07	0.08^ns	1.57	0.14	118.11	−0.05^ns	NA^ф
WS	4.64	6.76	2.20	0.21	0.91***	1.03	0.31	24.61	2.83	8.34	0.12	0.57	0.68***	2.34	0.48	45.67	−0.53**	NA^ф
ALL	6.14	8.33	3.68	0.22	0.84***	1.95	0.38	15.99	2.03	5.11	−0.15	0.28	0.52***	2.05	0.48	44.27	−0.21**	NA^ф
CML440 × CML504
MWW	8.61	12.29	4.95	0.86	–	0.77	0.69	10.66	0.85	3.01	−0.50	0.12	–	0.73	0.25	104.06	−0.14*	−0.41*
ZWW	11.39	17.94	6.37	1.47	–	3.95	0.43	18.34	−0.06	2.50	−2.00	0.00	–	1.33	0.00	−1,946.11	−0.10^ns	NA^ф
MWS10	6.13	8.23	3.56	0.34	–	0.71	0.49	15.00	2.37	8.33	−0.32	0.39	–	1.77	0.31	59.67	−0.09^ns	−0.24*
MWS11	4.25	6.59	1.86	0.51	–	0.42	0.71	17.40	4.66	9.89	1.73	1.16	–	2.06	0.53	33.42	−0.53***	−0.86***
KWS	4.24	5.94	2.69	0.11	–	0.47	0.32	17.65	2.50	5.53	0.38	0.42	–	1.04	0.45	42.85	−0.28**	−0.66**
WW	10.00	14.22	6.88	0.61	0.55*	2.40	0.41	13.59	0.40	1.81	−0.79	0.01	0.03^ns	1.14	0.04	195.24	−0.09*	NA^ф
WS	4.88	6.36	3.38	0.11	0.22**	0.56	0.39	12.35	3.18	6.15	1.18	0.39	0.26***	1.63	0.52	27.47	−0.26**	−0.65**
ALL	6.93	9.23	5.00	0.23	0.46**	1.31	0.51	9.95	2.07	3.78	0.67	0.18	0.22***	1.41	0.48	30.34	−0.21*	−0.56**
CML444 × CML441
MWW	10.81	14.15	2.93	1.73	–	1.33	0.72	10.67	0.35	2.96	−2.03	0.17	–	0.38	0.47	186.81	−0.15*	−0.25*
ZWW	8.99	12.67	2.47	0.96	–	1.75	0.52	14.71	0.33	2.00	−2.00	0.00	–	0.33	0.00	339.80	0.15^ns	0.07^ns
MWS10	5.71	9.33	0.74	1.04	–	0.84	0.71	17.56	3.07	7.32	0.45	0.92	–	1.20	0.61	38.17	−0.35***	−0.55***
MWS11	5.33	8.33	2.08	0.71	–	0.68	0.67	17.55	4.70	9.04	0.37	1.14	–	1.74	0.57	30.89	−0.33***	−0.45**
KWS	1.83	3.40	0.09	0.02	–	0.42	0.11	37.15	6.85	15.81	1.51	2.00	–	7.23	0.36	42.73	−0.61**	NA^ф
ZWS	1.81	3.40	0.39	0.06	–	0.48	0.19	39.59	8.00	16.25	0.66	0.24	–	12.43	0.04	45.27	−0.33***	NA^ф
WW	9.91	12.66	3.27	0.38	1.05***	1.50	0.30	15.82	0.34	3.00	−2.00	0.09	0.00^ns	0.76	0.32	218.10	−0.21**	NA^ф
WS	3.66	5.79	0.10	0.15	0.36***	0.63	0.46	18.25	5.65	11.22	1.48	0.72	0.37***	5.42	0.48	33.34	−0.39***	NA^ф
ALL	5.73	7.53	1.91	0.30	0.49***	0.91	0.66	11.53	3.88	7.54	−0.29	0.44	0.33***	3.99	0.53	27.03	−0.67***	NA^ф

WW well-watered environments (Mexico and Zimbabwe), WS water stress environments (Mexico10, Mexico11, Kenya and ZWS), ALL combined analysis across all environments

***, ** and * Significance at P < 0.001, 0.01 and 0.05, respectively