Implications of predictable and unpredictable environmental factors in common bean VCU trials in Minas Gerais

Lima, Lidiane Kely de; Ramalho, Magno Antônio Patto; Abreu, Ângela de Fátima Barbosa; Toledo, Fernando H.; Ferreira, Robério Anastácio

doi:10.1590/1984-70332014v14n3a22

Cited by 9 publications

(11 citation statements)

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“…It should be noted that the assessment environments comprised two years, the sowing seasons in each year, and the locations. The growing conditions for common bean are often subject to many changes in crop years, locations, and seasons within the same year, as it is often reported in the literature concerning experiments conducted in Minas Gerais (Lima et al 2013, Lima et al 2014, Ferreira et al 2015).…”

Section: Resultsmentioning

confidence: 99%

Repeatability of some phenotypic stability parameters - a resampling approach

Mendes

Ramalho

2018

Crop Breed. Appl. Biotechnol.

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The aim of this study was to estimate the repeatability of some phenotypic stability parameters: reliability index (I), regression coefficient (b 0 e b 1), ecovalence, and the mean of the absolute scores (MAS), and to check the implications of estimating stability parameters using a reduced number of environments. A dataset comprising 25 common bean lines assessed in 36 environments was used. These environments comprise different locations, sowing seasons, and years. Different experimental groups, from three to 18 environments, were simulated. For each group, analysis of variance was performed and the stability parameters were estimated. The greater repeatability estimates were observed for the mean (b 0), followed by the I and b 1. Ecovalence and MAS had the lowest values for the repeatability estimates, which is not desirable for breeding programs aiming at selection for high stability. The phenotypic stability parameter should not be estimated from fewer than 12 environments.

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Section: Resultsmentioning

confidence: 99%

Repeatability of some phenotypic stability parameters - a resampling approach

Mendes

Ramalho

2018

Crop Breed. Appl. Biotechnol.

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“…In common bean, several studies report an interaction of genotype x sowing season, especially for grain yield (Lima et al, 2014;Ferreira et al, 2015). There are also reports of the genotype x environment interaction for other traits of common bean, including some pods per plant, grain per pod, and grain weight (Ribeiro et al, 2014).…”

Section: Discussionmentioning

confidence: 99%

Research Article Genetic control of number of flowers and pod set in common bean.

Martins¹,

Júnior

Abreu

et al. 2017

Genet. Mol. Res.

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ABSTRACT. This article aimed to study the genetic control of some flowers and pod set of common bean and to verify if its estimate varies with environmental conditions and gene pool. A complete diallel was used among six lines, but no reciprocal ones. The treatments were evaluated in three harvests/generations -F 2 , F 3 , and F 4 -in 2015/2016, in a randomized complete block design with four replications. The plot consisted of 3 lines with 4 m. In the center line, a receptacle to collect the aborted flowers/pods was placed. The traits considered were the number of flowers/plant (N), the percentage of pod set (V), and the production of grain/plant (W). A joint diallel analysis was performed, and the correlations between N, V, and W were estimated. N was 31.9 on average, and V was 40.4%. The average of Mesoamerican parents, for N and V, was higher than for Andean. Specific combining ability explained most of the variation for N, evidencing predominance of dominance effect. For V, specific combining ability was slightly lower than general combining ability, indicating additive loci and also dominance effects. These two traits were very influenced by environment and should be considered a strategy for greater grain yield stability of common bean.

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“…A progeny x environment interaction for grain yield is a frequent occurrence in the region (Lima et al 2014, Lima et al 2015. In order to minimize the effect of this type of interaction, it is necessary to conduct the evaluation experiments in as many environments as possible and to identify the best progenies in the average of the environments (Lima et al 2014. The most adapted and stable progenies in the average of the locations and sowing seasons were identified using the methodology of Nunes et al (2005).…”

Section: Resultsmentioning

confidence: 99%