Genetic parameters estimation in common bean under weed plant competition

Coelho, Clever Geraldo; Dalvi, Leandro Pin; Marçal, Tiago de Souza; Oliveira, Lidiane dos Santos Gomes; Oliveira, Fabio Luiz; Fialho, Gustavo Sessa

doi:10.1590/0034-737X202168040011

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Sumário

Plant breeding applied to agriculture • Rev. Ceres 68 (4) • Jul-Aug 2021 • https://doi.org/10.1590/0034-737X202168040011 copy

Genetic parameters estimation in common bean under weed plant competition¹ This written work is parto f the first author’s master’s thesis. This study was financed in part by the Fundação de Amparo à Pesquisa e Inovação do Espírito Santo (FAPES).

Authorship SCIMAGO INSTITUTIONS RANKINGS

ABSTRACT

The present study aimed to estimate genetic parameters of 20 common bean genotypes, commercial and regional bean on weed interference. The agronomic characters analyzed were: average stem diameter (ASD); average plant length (APL); number of pods per pot (NPP); number of locules per pod (NLP); number of grains per pod (NGP); percentage of empty locules (% EL); total grains per pot (TGP); total grain weight per pot (TGW) and average grain weight (AGW). High heritability values were found for most of the characters studied, except for NGP and EL; in addition to great genetic variability among genotypes. Therefore, for most of the characteristics of agronomic interest studied, simple selection methods can be applied with great potential to identify superior genotypes and consequent genetic progress in common bean breeding.

Keywords:
Phaseolus vulgaris L.; Commelina diffusa L.; breeding.

Genotype	Origin	Growth habits
BRS Pontal (Biofortificada)	Commercial	Indeterminate
BRS Pérola	Commercial	Indeterminate
BRS Ametista	Commercial	Indeterminate
BRS Estilo	Commercial	Indeterminate
BRS Agreste (Biofortificada)	Commercial	Indeterminate
Carioca Comum	Regional	Indeterminate
Manteigão	Regional	Determined
Mulatinho	Regional	Indeterminate
Mulato	Regional	Indeterminate
Preto 90 dias	Regional	Indeterminate
Preto	Regional	Indeterminate
Preto Jalo	Regional	Determined
Carioca Pintadinho	Regional	Determined
Carioca preto	Regional	Determined
Corujinha	Regional	Determined
Rosinha Carioca	Regional	Determined
Mulato Manteigão	Regional	Indeterminate
Amendoim	Regional	Indeterminate
Vermelho 1	Regional	Indeterminate
Vermelho 2	Regional	Indeterminate

Universidade Federal de Viçosa Av. Peter Henry Rolfs, s/n, 36570-000 Viçosa, Minas Gerais Brasil, Tel./Fax: (55 31) 3612-2078 - Viçosa - MG - Brazil
E-mail: ceres@ufv.br

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[1] * Corresponding author: lidianegomes31@gmail.com

Source of variation	DF	Mean square
Source of variation	DF	ASD	APL	NPP	NGP	NLP	%EL	TGP	TGW	AGW
Trap	1	0.002^ns	2435.493**	7.008^ns	1.200^ns	7.008**	563.915*	118.008^ns	42.245**	0.005^ns
Gen	19	0.954**	6232.753**	29.570**	3.588**	3.113**	320.865**	994.815**	16.924**	0.044**
Regional	14	1.233**	6892.4889**	38.044**	4.558**	3.806**	347.625**	1288.115**	20.543**	0.052**
Commercial	4	0.169^ns	3390.515**	5.200^ns	0.617^ns	1.033^ns	305.339**	212.633*	8.478**	0.008**
Reg x Com.	1	0.185^ns	8365.399^ns	8.402^ns	1.878^ns	1.736^ns	8.320^ns	17.336^ns	0.0288^ns	0.061**
Gen x Trap	19	0.092^ns	288.484^ns	7.763^ns	0.410^ns	0.675^ns	81.795^ns	62.938^ns	5.116**	0.003**
Reg x Trap	14	0.116^ns	368.123^ns	7.330^ns	0.511^ns	0.854^ns	89.339^ns	41.297^ns	5.272*	0.004**
Com. x Trap	4	0.017^ns	76.961^ns	4.133^ns	0.117^ns	0.200^ns	74.262^ns	147.333^ns	0.896^ns	0.001^ns
(Com x Reg) x Trap	1	0.068^ns	19.632^ns	28.336*	0.178^ns	0.069^ns	6.314^ns	28.336	19.825**	0.001^ns
Residue	80	0.076	330.560	5.083	0.517	0.500	83.317	75.175	2.353	0.001
Average Reg	---	4.294	123.052	11.256	4.678	3.589	22.643	40.356	11.330	0.309
Average Com.	---	4.384	142.334	11.867	4.967	3.867	22.035	41.233	11.295	0.257
General average	---	4.316	127.873	11.408	4.750	3.658	22.491	40.575	11.322	0.296

Paramenters	ASD	APL	NPP	NGP	NLP	%EL	TGP	TGW	AGW
σg	0.193	1093.655	5.494	0.674	0.551	44.051	202.157	3.032	0.008
σgt	0.007	6.261	0.374	0	0.059	1.004	0	0.486	0.000
σe	0.076	330.560	5.083	0.517	0.500	83.317	75.175	2.353	0.001
h² (%)	93.832	95.204	86.638	88.666	86.864	76.033	94.164	88.547	97.222
CVg (%)	10.228	26.875	20.824	17.546	20.684	29.312	35.232	15.367	29.758
CV_e (%)	6.390	14.218	19.763	15.133	19.329	40.584	21.369	13.548	12.865
CVg/CV_e	1.592	1.819	1.040	1.142	1.050	0.727	1.640	1.135	2.415
r_gloc	0.967	0.994	0.936	1.000	0.903	0.978	1.000	0.862	0.948
Accuracy	0.969	0.976	0.931	0.942	0.932	0.872	0.970	0.941	0.986

SV	DF	Mean square (without dayflower)
SV	DF	ASD	APL	NPP	NGP	NLP	%EL	TGP	TGW	AGW
Gen	19	0.564**	2963.335**	24.122**	1.525**	1.469**	230.730**	416.978**	5.982**	0.016**
Regional	14	0.727**	3352.725**	31.127**	1.889**	1.714**	227.562**	560.451**	6.622**	0.019**
C. Com	4	0.077^ns	1394.488**	4.900^ns	0.233^ns	0.667^ns	299.481**	18.900^ns	2.567^ns	0.003^ns
Reg x Com	1	0.238^ns	3787.257**	2.939^ns	1.606^ns	1.250^ns	0.069ns	0.672^ns	10.682*	0.024**
Residue	40	0.079	244.036	5.133	0.617	0.517	67.521	32.850	1.550	0.002
Average of regional	---	4.276	118.781	11.778	4.556	3.333	24.679	39.644	10.972	0.302
Averages of C. Com.	---	4.422	137.129	11.267	4.933	3.667	24.600	39.400	9.997	0.255
General Average	---	4.313	123.368	11.650	4.650	3.417	24.659	39.583	10.728	0.290
Mean square (with dayflower)
Gen	19	0.482**	3557.902**	13.211**	2.473**	2.319**	171.931ns	640.775**	16.058**	0.031**
Regional	14	0.622**	3907.887**	14.248**	3.181**	2.946**	209.403*	768.962**	19.193**	0.038**
C. Com	4	0.109^ns	2072.988**	4.433^ns	0.500^ns	0.567^ns	80.120^ns	341.067*	6.808ns	0.006**
Reg x Com	1	0.014^ns	4597.775**	33.800*	0.450^ns	0.556^ns	14.566^ns	45.000^ns	9.171^ns	0.038**
Residue	40	0.073	417.084	5.033	0.417	0.483	99.113	117.500	3.156	0.001
Averages of regional	---	4.311	127.324	10.733	4.800	3.844	20.608	41.067	11.689	0.317
Averages of C. Com.	---	4.347	147.540	12.467	5.000	4.067	19.470	43.067	12.592	0.259
Geral Average	---	4.320	132.378	11.167	4.850	3.900	20.324	41.567	11.915	0.303

WITHOUT DAYFLOWER
Parameters	ASD	APL	NPP	NGP	NLP	%EL	TGP	TGW	AGW
Vg	0.216	1036.230	8.665	0.424	0.399	53.347	175.867	1.691	0.006
Ve	0.026	81.345	1.711	0.206	0.172	22.507	10.950	0.517	0.001
h² (%)	89.087	92.721	83.508	67.353	69.861	70.328	94.139	76.598	89.420
CVg (%)	10.863	27.101	24.992	14.295	18.955	29.596	33.451	11.852	24.830
CV_e (%)	6.530	12.663	19.448	16.888	21.038	33.323	14.480	11.604	15.383
CVg/CV	1.664	2.140	1.285	0.846	0.901	0.888	2.310	1.021	1.614
Accuracy	0.944	0.963	0.914	0.821	0.836	0.839	0.970	0.875	0.946
WITH DAYFLOWER
Vg	0.183	1163.601	3.071	0.921	0.821	36.763	217.154	5.346	0.012
Ve	0.024	139.028	1.678	0.139	0.161	33.038	39.167	1.052	0.001
h2 (%)	88.295	89.327	64.672	86.901	83.594	52.668	84.720	83.557	97.563
CVg (%)	9.926	26.791	16.328	19.998	23.567	29.422	35.883	19.780	34.939
CV_e (%)	6.247	15.428	20.091	13.309	17.826	48.985	26.078	14.910	10.027
CVg/CV_e	1.589	1.737	0.813	1.503	1.322	0.601	1.376	1.327	3.485
Accuracy	0.940	0.945	0.804	0.932	0.914	0.726	0.920	0.914	0.988

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Genetic parameters estimation in common bean under weed plant competition1 This written work is parto f the first author’s master’s thesis. This study was financed in part by the Fundação de Amparo à Pesquisa e Inovação do Espírito Santo (FAPES).

ABSTRACT

Genetic parameters estimation in common bean under weed plant competition¹ This written work is parto f the first author’s master’s thesis. This study was financed in part by the Fundação de Amparo à Pesquisa e Inovação do Espírito Santo (FAPES).