Table 5.

Effect of temperature on mycelial growth of the fungal isolates included in this study¹.

	Isolate 1	Analytics Beta Model 2			Temperature (°C) 3,4			MGR (mm Day−1) 4,5
		R 2	a	b	Optimum	Minimum	Maximum
Aspergillus flavus	MZC-17	0.9939	2.27	0.80	31.6 ab	5.0	41.0	5.6 gh
	MZC-20	0.9989	1.79	1.18	30.9 bc	13.5	42.5	5.3 h
Aspergillus niger	MZC-14	0.9938	2.63	1.67	31.2 b	10.0	42.5	6.9 g
	MZC-18	0.9845	2.36	1.50	30.3 c	12.0	42.0	6.6 gh
Chaeotomium globosum	MZC-2	0.9865	1.74	0.99	24.4 f	5.0	35.5	2.2 i
	MZC-9	0.9668	1.16	0.90	22.2 g	5.0	35.5	2.0 i
Doratomyces stemonitis	MZC-16	0.9734	2.10	0.97	24.1 f	6.0	32.5	2.0 i
Mucor circinelloides	MZC-5	0.9475	1.97	0.58	25.2 d	3.5	35.5	10.4 e
	MZC-23	0.9621	1.03	0.32	28.3 d	5.0	35.5	11.0 e
Mucor fragilis	MZC-1	0.9811	1.47	0.73	24.7 f	4.0	35.0	8.6 f
Penicillium citrinum	MZC-21	0.9992	1.24	0.62	27.7 de	12.0	35.5	1.8 i
Trichoderma asperellum	MZC-8	0.9970	2.39	0.91	27.8 de	7.5	35.5	13.3 d
	MZC-10	0.9920	3.38	1.18	27.6 de	5.0	35.5	13.9 cd
	MZC-11	0.9915	2.60	0.92	27.5 e	5.0	35.5	15.2 bc
	MZC-24	0.9966	3.58	1.29	27.1 e	5.0	35.5	16.3 b
Trichoderma longibrachiatum	MZC-4	0.9957	2.97	0.96	32.1 a	6.0	40.5	33.6 a

¹ Isolates were grown on PDA at 5, 10, 15, 20, 25, 30, 35, and 40 °C in the dark from 1 to 8 days. Data represent the average of four replicated Petri dishes per isolate and temperature combination. ² Analytics beta model, where R² = coefficient of determination and a, b = coefficients of regression. ³ For each isolate, temperature average growth rates were adjusted to a regression curve to estimate the optimum growth temperature. ⁴ MGR: Maximum growth rate (mm per day) obtained using the analytics beta model at the optimum growth temperature. ⁵ Means in a column followed by the same letter do not differ significantly according to protected Tukey’s HSD test at p = 0.05 [39].