Agronomic performance of modern soybean cultivars in multi-environment trials

Matei, Gilvani; Benin, Giovani; Woyann, Leomar Guilherme; Dalló, Samuel Cristian; Milioli, Anderson Simionato; Zdziarski, Andrei Daniel

doi:10.1590/s0100-204x2017000700004

Cited by 23 publications

(20 citation statements)

References 21 publications

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“…These locations range from Pelotas in the extreme south of Rio Grande do Sul State to Guarapuava in Paraná State, with altitudes varying from 14 m to 1116 m asl (Table 1). Similar results for the variance components were reported by Lopez‐Cruz et al (2015) and Matei et al (2017) in their wheat and soybean METs.…”

Section: Discussionsupporting

confidence: 89%

Genetic Gain Over 30 Years of Spring Wheat Breeding in Brazil

et al. 2019

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Wheat (Triticum aestivum L.) is one of the most important crops in the world. Brazil is one of the largest importers of this cereal, and wheat breeding programs are attempting to increase productivity and reduce external dependence. The objectives of this study were to quantify the spring wheat genetic gain in Brazil between 1984 and 2014 using data from multienvironment trials, and to verify if the genetic gain stagnated after the 2000s. This study used a highly unbalanced dataset containing grain yield (GY) data from 187 spring wheat trials that were performed at 25 locations between 2002 and 2015. In total, 126 cultivars, released between 1985 and 2014, were evaluated over 14 crop seasons. The cultivar evaluation indicated that there was a genetic gain in GY of 33.9 kg ha−1 yr−1 (r2 = 0.53, P < 0.01), which represents an increase of 1.28% yr−1. The dataset showed a linear regression for the genetic gain and indicates that wheat genetic gain has not stagnated in Brazil after the 2000s.

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Section: Discussionsupporting

confidence: 89%

Genetic Gain Over 30 Years of Spring Wheat Breeding in Brazil

et al. 2019

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“…Higher values of GY, OIL, PRT, PH, and TGW are desirable for soybean crop (Matei et al., ; Matei et al., ). Medium‐cycle cultivars have been prioritized because they present higher productive potential and are preferred by farmers.…”

Section: Discussionmentioning

confidence: 99%

“…Leite et al (2018) indicated that exploratory multivariate techniques can be applied to select genotypes by analyzing the agronomic traits altogether, increasing the chance of success of a breeding program. Higher values of GY, OIL, PRT, PH, and TGW are desirable for soybean crop (Matei et al, 2017;Matei et al, 2018). Medium-cycle cultivars have been prioritized because they present higher productive potential and are preferred by farmers.…”

Section: Discussionmentioning

confidence: 99%

Selection indexes based on linear‐bilinear models applied to soybean breeding

et al. 2020

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Recently developed selection indexes provide solutions for plant breeding, using linear‐bilinear models that consider factors as fixed or random. This work aimed to compare the multitrait selection indexes based on factor analysis and ideotype‐design (FAI‐BLUP), GGE biplot, and grain yield × trait index (GYT), and proposes the use of predicted genetic values together with the GYT index (best linear unbiased prediction used in grain yield*trait index, GYT‐BLUP). In addition, this work indicates the best index to select superior soybean [Glycine max (L.) Merr.] genotypes, closer to the ideotype. Data from 35 homozygous soybean lines and four checks, were obtained from trials conducted in six locations in the southern region of Brazil in the 2014/2015 crop season. The grain yield, yield components, morphological and grain composition were evaluated. Phenotypic data were used for GGE biplot and GYT analysis, using the software GGE biplot. Genetic values were predicted with mixed models considering genotype and location as random and fixed effects, respectively. Thus, genetic values were used in GYT‐BLUP and FAI‐BLUP indexes. These methods were compared by Spearman's rank correlation. Genetic gains obtained by indexes and traits were estimated. Soybean lines L1 and L22, and cultivars C3 and C4 were selected based on their performance for multiple traits, for indexes used. Thus, we suggest to combined FAI‐BLUP and GYT‐BLUP indexes. The GYT‐BLUP has a high importance for grain yield, which was related to all other traits. FAI‐BLUP gave similar weights for all traits. So, combining different approaches can provide better answers to breeders.

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“…Embora a precipitação total foi em quantidade suficiente para a cultura da soja, nas quatro épocas de semeadura, notou-se que houve distribuição irregular de chuva, especialmente na semeadura de janeiro, ocorrendo período de estiagem no florescimento e no enchimento de grãos, o que impactou a produtividade de grãos. Matei et al (2017) avaliaram o potencial de produção da cultivar NS 6909 IPRO.…”

Section: Methodsunclassified

Influência da época de semeadura em caracteres agronômicos, adaptabilidade e estabilidade de cultivares de soja

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Agronomic performance of modern soybean cultivars in multi-environment trials

Cited by 23 publications

References 21 publications

Genetic Gain Over 30 Years of Spring Wheat Breeding in Brazil

Genetic Gain Over 30 Years of Spring Wheat Breeding in Brazil

Selection indexes based on linear‐bilinear models applied to soybean breeding

Influência da época de semeadura em caracteres agronômicos, adaptabilidade e estabilidade de cultivares de soja

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