Indirect selection for culinary quality and minerals in beans based on genotype × environment interaction<sup/>

Ribeiro, Nerinéia Dalfollo; Maziero, Sandra Maria

doi:10.5935/1806-6690.20230044

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Scientific Article • Rev. Ciênc. Agron. 54 • 2023 • https://doi.org/10.5935/1806-6690.20230044 copy

Indirect selection for culinary quality and minerals in beans based on genotype × environment interaction¹ 1 This work was carried out with financial support from National Council for Scientific and Technological and Development (CNPq)

Authorship SCIMAGO INSTITUTIONS RANKINGS

ABSTRACT

The determination of the number of experiments required to achieve high coincidence in identifying significant correlations between culinary quality traits and/or mineral concentrations is unprecedented for common bean. The objectives of this study were to evaluate correlations between culinary quality traits and minerals in common bean lines considering data from individual and combined experiments; define the minimum number of experiments that provide high coincidence in identifying significant correlations; and identify promising traits for indirect selection. For this, seven traits related to culinary quality and the concentration of six minerals in grains of 17 common bean genotypes were evaluated. Pearson’s linear correlation analysis was performed on data obtained from four individual experiments and six combinations of experiments. Twelve of the 13 evaluated traits showed a significant genotype × environment interaction effect, indicating that the common bean genotypes exhibited differences in culinary quality and mineral concentration when these were determined in different experiments. Pearson’s linear correlation coefficients vary in significance, sign, and/or magnitude for the traits analyzed in individual and combined experiments. The use of data from three experiments provides a high coincidence percentage in identifying significant correlations in Pearson’s linear correlation analysis. Common bean lines with high culinary quality and greater mineral concentration can be indirectly selected based on higher L* values (grain lightness) and higher calcium concentrations.

Keywords:
Phaseolus vulgaris L; Genotype × environment interaction; Pearson’s linear correlation; Grain quality traits

Source of variation	DF	L*		a*		b*		ABS		NG
Source of variation	DF	MS	P val.^b	MS	P val.	MS	P val.	MS	P val.	MS	P val.
Block/environment	8	3.85		1.42		2.93		0.18		0.04
Genotype (G)	16	3758.06	0.000	53.32	0.000	767.49	0.000	3.83	0.015	1.71	0.012
Environment (E)	3	36.63	0.005	12.14	0.007	32.78	0.003	14.26	0.000	0.88	0.000
G x E	48	6.95	0.000	1.10	0.000	3.70	0.000	1.70	0.000	0.70	0.000
Residue	128	1.63		0.18		0.76		0.23		0.06
Mean		39.58		3.24		9.08		88.80		96.52
CEV (%)		3.22		13.31		9.63		5.06		2.59
SA		1.00		0.99		1.00		0.75		0.77
Source of variation	DF	TIME		M100G		K		P		Ca
Source of variation	DF	MS	P val.	MS	P val.	MS	P val.	MS	P val.	MS	P val.
Block/environment	8	107314.05		10.83		1.38		1.75		0.11
Genotype (G)	16	26128.66	1.000	80.77	0.000	1.64	0.066	0.83	0.118	0.35	0.034
Environment (E)	3	3247435.26	0.000	570.07	0.000	11.42	0.008	4.59	0.122	11.02	0.000
G x E	48	42676.88	0.000	13.79	0.000	0.93	0.079	0.53	0.009	0.17	0.000
Residue	128	8409.42		4.37		0.67		0.31		0.07
Mean		16:47		25.80		10.57		3.13		1.54
CEV (%)		9.10		8.10		7.76		17.80		17.47
SA		0.00		0.91		0.66		0.60		0.70
Source of variation	DF	Mg		Fe		Cu
Source of variation	DF	MS	P val.	MS	P val.	MS	P val.
Block/environment	8	0.04		62.44		1.09
Genotype (G)	16	0.04	1.000	162.12	1.000	4.09	0.090
Environment (E)	3	34.65	0.000	4552.31	0.000	570.29	0.000
G x E	48	0.05	0.001	188.47	0.008	2.47	0.000
Residue	128	0.02		98.74		0.64
Mean		2.30		58.41		7.53
CEV (%)		6.83		17.01		10.66
SA		0.00		0.00		0.63

	ABS	TIME	M100G	P	Ca	Mg	Fe	Cu
	Experiment I
L*	0.47^ns	0.21^ns	0.21^ns	-0.14^ns	-0.26^ns	-0.19^ns	-0.33^ns	-0.43^ns
ABS		0.28^ns	0.02^ns	-0.12^ns	0.24^ns	0.12^ns	-0.58*	-0.32^ns
TIME			0.48*	-0.32^ns	0.15^ns	0.11^ns	-0.17^ns	-0.19^ns
M100G				-0.44*	0.03^ns	-0.32^ns	0.03^ns	-0.27^ns
P					-0.33^ns	0.04^ns	0.34^ns	0.76*
Ca						0.69*	0.06^ns	0.04^ns
Mg							0.20^ns	0.34^ns
Fe								0.65*
	Experiment II
L*	0.23^ns	-0.30^ns	-0.14^ns	-0.05^ns	-0.07^ns	0.01^ns	-0.28^ns	-0.21^ns
ABS		-0.73*	0.12^ns	0.10^ns	0.18^ns	0.27^ns	-0.42^ns	0.43^ns
TIME			0.20^ns	-0.03^ns	-0.40^ns	-0.56*	0.21^ns	-0.13^ns
M100G				0.81*	-0.29^ns	-0.61*	0.27^ns	0.32^ns
P					-0.14^ns	-0.58*	0.32^ns	0.37^ns
Ca						0.72*	0.17^ns	-0.15^ns
Mg							-0.21^ns	-0.21^ns
Fe								-0.24^ns
	Experiment III
L*	0.54*	-0.16^ns	0.30^ns	0.14^ns	-0.38^ns	0.04^ns	-0.02^ns	0.02^ns
ABS		-0.30^ns	-0.02^ns	0.04^ns	-0.06^ns	0.21^ns	0.07^ns	0.15^ns
TIME			0.34^ns	0.14^ns	-0.26^ns	0.21^ns	-0.07^ns	0.10^ns
M100G				-0.28^ns	-0.30^ns	-0.05^ns	-0.32^ns	0.14^ns
P					-0.03^ns	0.36^ns	0.68*	-0.38^ns
Ca						0.20^ns	-0.15^ns	0.17^ns
Mg							-0.03^ns	0.29^ns
Fe								-0.27^ns
	Experiment IV
L*	0.32^ns	0.15^ns	0.54*	-0.07^ns	0.17^ns	-0.08^ns	0.25^ns	-0.57*
ABS		0.27^ns	0.43^ns	-0.45^ns	0.26^ns	0.60*	0.39^ns	-0.04^ns
TIME			0.19^ns	-0.10^ns	0.15^ns	0.04^ns	0.01^ns	-0.50*
M100G				0.13^ns	-0.11^ns	0.33^ns	0.19^ns	-0.01^ns
P					-0.20^ns	-0.11^ns	-0.14^ns	0.18^ns
Ca						0.25^ns	0.70*	-0.17^ns
Mg							0.62*	0.39^ns
Fe								-0.13^ns

	ABS	TIME	M100G	P	Ca	Mg	Fe	Cu
		Experiments I and II
L*	0.40^ns	-0.14^ns	0.00^ns	-0.19^ns	-0.20^ns	-0.11^ns	-0.40^ns	-0.38^ns
ABS		-0.55*	0.04^ns	-0.14^ns	0.19^ns	0.26^ns	-0.46^ns	0.02^ns
TIME			0.14^ns	-0.09^ns	-0.19^ns	-0.04^ns	0.16^ns	-0.08^ns
M100G				-0.02^ns	-0.19^ns	-0.47^ns	0.29^ns	0.06^ns
P					-0.51*	-0.28^ns	0.25^ns	0.79*
Ca						0.73*	-0.02^ns	-0.34^ns
Mg							-0.19^ns	-0.11^ns
Fe								0.14^ns
	Experiments I and III
L*	0.57*	0.02^ns	0.26^ns	0.05^ns	-0.38^ns	-0.14^ns	-0.31^ns	-0.34^ns
ABS		-0.07^ns	0.00^ns	-0.07^ns	0.07^ns	0.12^ns	-0.49*	-0.19^ns
TIME			0.45^ns	-0.21^ns	-0.13^ns	-0.01^ns	-0.13^ns	0.23^ns
M100G				-0.49*	-0.25^ns	-0.29^ns	-0.12^ns	0.06^ns
P					-0.06^ns	-0.02^ns	0.25^ns	-0.21^ns
Ca						0.66*	0.03^ns	0.53*
Mg							0.10^ns	0.54*
Fe								0.45^ns
	Experiments II and IV
L*	0.27^ns	-0.25^ns	0.13^ns	-0.07^ns	0.11^ns	-0.03^ns	-0.12^ns	-0.43^ns
ABS		-0.43^ns	0.26^ns	-0.13^ns	0.22^ns	0.47^ns	-0.23^ns	0.19^ns
TIME			0.05^ns	-0.19^ns	-0.02^ns	-0.18^ns	-0.08^ns	0.00^ns
M100G				0.29^ns	-0.28^ns	-0.21^ns	0.20^ns	0.45^ns
P					-0.25^ns	-0.36^ns	0.27^ns	0.22^ns
Ca						0.60*	0.36^ns	-0.44^ns
Mg							0.08^ns	-0.32^ns
Fe								-0.14^ns
	Experiments III and IV
L*	0.55*	-0.04^ns	0.45^ns	0.06^ns	-0.13^ns	-0.05^ns	0.28^ns	-0.29^ns
ABS		0.01^ns	0.23^ns	-0.09^ns	0.06^ns	0.22^ns	0.24^ns	0.00^ns
TIME			0.31^ns	0.14^ns	-0.14^ns	0.33^ns	0.08^ns	-0.17^ns
M100G				-0.12^ns	-0.31^ns	0.30^ns	0.07^ns	0.12^ns
P					-0.20^ns	-0.09^ns	0.26^ns	-0.18^ns
Ca						0.09^ns	-0.02^ns	0.14^ns
Mg							0.44^ns	0.55*
Fe								0.23^ns

	ABS	TIME	M100G	P	Ca	Mg	Fe	Cu
	Experiments I, II, and II
L*	0.50*	-0.20^ns	0.09^ns	0.02^ns	-0.37^ns	-0.09^ns	-0.38^ns	-0.35^ns
ABS		-0.37^ns	0.07^ns	-0.20^ns	-0.03^ns	0.26^ns	-0.44^ns	-0.05^ns
TIME			0.27^ns	0.02^ns	-0.10^ns	-0.10^ns	0.20^ns	0.20^ns
M100G				-0.39^ns	-0.39^ns	-0.48*	0.08^ns	0.26^ns
P					-0.18^ns	-0.28^ns	0.27^ns	-0.04^ns
Ca						0.72*	-0.05^ns	0.07^ns
Mg							-0.21^ns	-0.06^ns
Fe								0.26^ns
	Experiments I, II, III, and IV
L*	0.51*	-0.14^ns	0.20^ns	-0.00^ns	-0.19^ns	-0.12^ns	-0.26^ns	-0.46^ns
ABS		-0.06^ns	0.16^ns	-0.24^ns	0.08^ns	0.30^ns	-0.31^ns	-0.18^ns
TIME			0.26^ns	0.04^ns	0.04^ns	0.23^ns	0.10^ns	0.09^ns
M100G				-0.19^ns	-0.37^ns	-0.24^ns	0.14^ns	0.27^ns
P					-0.32^ns	-0.57*	0.11^ns	-0.07^ns
Ca						0.62*	0.04^ns	-0.07^ns
Mg							-0.00^ns	-0.06^ns
Fe								0.32^ns

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Indirect selection for culinary quality and minerals in beans based on genotype × environment interaction1 1 This work was carried out with financial support from National Council for Scientific and Technological and Development (CNPq)

ABSTRACT

Indirect selection for culinary quality and minerals in beans based on genotype × environment interaction¹ 1 This work was carried out with financial support from National Council for Scientific and Technological and Development (CNPq)