Breeding widely adapted, popular maize hybrids

Troyer, A. Forrest

doi:10.1007/978-94-015-8806-5_24

Cited by 57 publications

(63 citation statements)

References 9 publications

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“…Genotype in the presence of unpredictable GE interaction is a major problem in plant breeding [3]. To select for superior genotypes, it seems that there is no easier way other than to test widely [26] and select for both average yield and stability [15,17]. According to the results based on mean of grain yield, coefficient of regression, deviation from regression, ASV and GSI genotype 8 and G3 are the genotype with well adaptability in all the studied environments and therefore selected for the possible release in the coming cropping season.…”

Section: Resultsmentioning

confidence: 99%

Identification of Stability and Adaptability of Small Red Bean Cultivars Using AMMI Analysis

Tadesse¹

2017

PLANT

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Genotype x location interaction effects are of special interest for breeding programs to identify adaptation targets, adaptive traits and test sites. In order to identify stability and adaptability of small red bean cultivars sixteen genotypes were evaluated at the mid altitude of bale zone southeastern Ethiopia during main season 2015 and 2016. The cultivars were arranged in a randomized complete block design with three replications at each site of Goro, Ginir and Dellomena. The combined analysis of variance for mean grain yield revealed significant variation for genotypes, environment and GE interaction. The analysis of variance for the AMMI (Additive Main effects and Multiplicative Interaction) revealed that significant variation for genotypes, environment and GE interaction. From this analysis 42.53% was explained by AMMI 1 followed by AMMI 2 (28.29%), AMMI 3 (19.76%) and AMMI 4 (7.10%) of the interaction sum of squares. Therefore, the first two AMMI components justified 70.82% of the GE interaction sum of squares. The stability parameters regression coefficient (bi), deviation from regression analysis and ASV identifies G7, G6, G11, G1 and G12 showed the least value for ASV indicating as these genotypes showed stable performance over the sites. However stable cultivar wouldn't necessarily gave the highest seed yield. Therefore based on Genotype Selection Index (GSI) which considers both the ASV and the mean yield, G8, G3, G6 and G7 were the most stable genotypes identified over the tested environments. Therefore, out of the tested genotypes, G8 and G3 were identified as stable cultivar to be selected for possible release during the coming cropping seasons.

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Section: Resultsmentioning

confidence: 99%

Identification of Stability and Adaptability of Small Red Bean Cultivars Using AMMI Analysis

Tadesse¹

2017

PLANT

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“…According to Troyer (1996), for a corn crop, a good hybrid does not arise by chance, it must be constructed. Success in this construction is directly related to the effort dedicated to evaluations.…”

Section: Using the 2002/2004 Vcu Trials As A Example 44%mentioning

confidence: 99%

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

Lima

Ramalho

Abreu

et al. 2014

Crop Breed. Appl. Biotechnol.

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-The aim of this study was to estimate the relative contribution of predictable and unpredictable environmental variations to the lines x environments interaction and verify if it is possible to reduce the number of evaluation environments of the Value for Cultivation and Use Trials (VCU) conducted in Minas Gerais, Brazil. We used grain yield data from 166 VCU trials of common bean conducted in the state from 2002 to 2012. Individual and joint analyses of variance of the environments were carried out for each twoyear period and the contribution of each source of variation to total variation was estimated. Subsequently, ecovalence was used, and joint analyses of variance were made considering different numbers of environments by means of resampling. The source of variation that most contributes to the interaction is location. Reduction in the number of environments in the VCU trials is not a good strategy for recommendation of cultivars in Minas Gerais.

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“…Cardwell (1982) estimated that increased plant densities accounted for 21% of the gain in maize yield in Minnesota (USA), from the 1930s through the 1970s. High plant density increases the deleterious effects of various classes of abiotic and biotic stresses and so increases the need for genetic improvements in stress tolerance (Troyer, 1996). Therefore, increases in plant density were accompanied by the introduction of maize genotypes that could withstand higher densities and achieve higher yields per unit area.…”

Section: Introductionmentioning

confidence: 99%

Direct mapping of density response in a population of B73 × Mo17 recombinant inbred lines of maize (Zea Mays L.)

et al. 2009

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Maize yield per unit area has dramatically increased over time as have plant population densities, but the genetic basis for plant response to density is unknown as is its stability over environments. To elucidate the genetic basis of plant response to density in maize, we mapped QTL for plant density-related traits in a population of 186 recombinant inbred lines (RILs) derived from the cross of inbred lines B73 and Mo17. All RILs were evaluated for growth, development, and yield traits at moderate (50 000 plants per hectare) and high (100 000 plants per hectare) plant densities. The results show that genetic control of the traits evaluated is multigenic in their response to density. Five of the seven loci significant for final height showed statistical evidence for epistatic interactions. Other traits such as days to anthesis, anthesis-to-silking interval, barrenness, ears per plant, and yield per plant all showed statistical evidence for an epistatic interaction. Locus by density interactions are of critical importance for anthesis-to-silking interval, barrenness, and ears per plant. A second independent experiment to examine the stability of QTL for barrenness in a new environment clearly showed that the multilocus QTL were stable across environments in their differential response to density. In this verification experiment, the four-locus QTL was used to choose lines with the four unfavorable alleles and compare them with the lines with four favorable alleles and the effect was confirmed.

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Breeding widely adapted, popular maize hybrids

Cited by 57 publications

References 9 publications

Identification of Stability and Adaptability of Small Red Bean Cultivars Using AMMI Analysis

Identification of Stability and Adaptability of Small Red Bean Cultivars Using AMMI Analysis

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

Direct mapping of density response in a population of B73 × Mo17 recombinant inbred lines of maize (Zea Mays L.)

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