scholarly journals Genotype Environment Interaction in Grass Pea (Lathyrus sativusL.) Lines

2009 ◽  
Vol 2009 ◽  
pp. 1-7 ◽  
Author(s):  
G. B. Polignano ◽  
V. Bisignano ◽  
V. Tomaselli ◽  
P. Uggenti ◽  
V. Alba ◽  
...  

Eight grass pea lines grown in three different seasons were evaluated for the stability of seed yield, 100 seeds weight, flowering time, plant height, and biomass. Significant differences existed among years, lines, and lines years interaction for all traits except for 100 seeds weight. Two methods of multivariate analysis cluster and principal components were utilized to determine: firstly, whether a pattern existed among lines in their response across years and secondly to examine the relationships among them. In both analyses, each line was presented as a vector whose elements were given by the performance of lines in each year. The analyses used arranged the lines into groups that were differentiable in terms of performances and stability. Our results provide useful information to aid the choice of grass pea lines in the Mediterranean marginal areas.

1982 ◽  
Vol 33 (3) ◽  
pp. 523 ◽  
Author(s):  
BC Imrie ◽  
KL Butler

Thirty mung bean (Vigna radiata) accessions were grown in replicated hill plots at two sites in each of 2 years. Plant height, days to flower and to harvest, and seed yield were recorded for each plot. In an analysis of variance most main effects and interactions were statistically significant. Estimated variance due to environment exceeded that due to genotypes for all characters. Broad sense heritability of seed yield was 0.07. The linear regression of seed yield on plant height was statistically significant, and there was a significant quadratic effect of yield on days to flower. It was concluded that environmental effects on the duration of growth phases were likely to be mainly due to the effect of different sowing dates on photoperiod-sensitive accessions, while rainfall variability most likely contributed to yield variance. Emphasis in an evaluation program should be on sampling years rather than locations.


Agronomy ◽  
2021 ◽  
Vol 11 (5) ◽  
pp. 962
Author(s):  
Mohamed Houssemeddine Sellami ◽  
Antonella Lavini ◽  
Cataldo Pulvento

Chickpea (Cicer arietinum L.) is an important cool-season food legume crop that is mainly cultivated as a rainfed crop. This study was conducted in Italy between 2017 and 2019 to evaluate the stability of seed yield (SY), biomass (AGB) and 1000 seed weight (THS), and to assess the seed quality of 12 kabuli chickpea accessions under field conditions. The likelihood-ratio test revealed significant effects of genotype only for the SY and THS. The environment and genotype × environment interaction (GEI) effects were highly significant for all variables. We found that the environment (year) and GEI explain 55.72% and 20.87% of the total seed yield variation, respectively. Most chickpea accessions showed sensitivity to frost conditions in the third growing season. No relationship was observed between the yield and the protein content in Kabuli chickpea. Among the accessions, Ares and Reale showed the best performance under all environmental conditions, and the Reale was the most stable chickpea.


Agronomy ◽  
2021 ◽  
Vol 11 (2) ◽  
pp. 357
Author(s):  
Nikolaos Katsenios ◽  
Panagiotis Sparangis ◽  
Sofia Chanioti ◽  
Marianna Giannoglou ◽  
Dimitris Leonidakis ◽  
...  

The interaction of genotype by the environment is very common in multi-environment trials of maize hybrids. This study evaluates the quantity and the quality of grain production and the stability of four maize genotypes in a field experiment that was conducted in five different locations for two years. In order to make a reliable evaluation of the performance of genotypes in the environments, principal components analysis (PCA) was used to investigate the correlation of the yield, soil properties and quality characteristics, while the additive main effects and multiplicative interaction (AMMI) analysis detected the narrow adaptations of genotypes at specific mega-environments. For the yield, AMMI analysis indicated that a group of five environments (ENV1, ENV8, ENV6 ENV10 and ENV9) gave higher yields than the mean value and at the same time had low first interaction principal components axis (IPC1) scores, indicating small interactions. Regarding protein and fiber contents, ENV1 and ENV2, gave the highest values and this could be attributed to the high concentration rates of nutrients like Mg, Ca and the soil texture (C). Specifically for the protein, the results of the analysis indicated that certain environment would provide more protein content, so in order to obtain higher grain protein, growers should grow in certain locations in order to improve the content of this quality characteristic, certain genotypes should be used in certain environments.


2019 ◽  
Vol 65 (4) ◽  
pp. 136-146
Author(s):  
Natalia Georgieva ◽  
Valentin Kosev

Abstract The experimental activity was conducted at the Institute of Forage Crops (Pleven) during the period 2016 – 2018. The adaptive ability of 10 broad bean accessions was determined with respect to main quantitative traits based on parametric and nonparametric analysis. The environment influences to the highest degree the traits of 1st pod height, pods number and seed weight per plant. The plant height and seeds number were strongly influenced by the genotype, and the mass of 100 seeds was determined by the genotype × environment interaction. The broad bean accessions can be distributed as follows: Fb 1929 has a high value of the 1st pod height (34 cm) and is characterized by high plasticity and stability; BGE 029055 and Fb 1896 are stable and form a large number of pods per plant (11 – 15); Fb 1896 and Fb 2486 are distinguished with good adaptability and stability, increased seed weight (28.01 and 30.28 g, respectively) and 100 seeds mass (105.48 g and 91.31 g). Accessions BGE 032012 and Fb 2481 represent a selection value in terms of plant height (61.36 and 65.83 cm); Fb 1929 – in 1st pod height (32.46 cm); and BGE 029055, Fb 1896 and Fb 2486 – in pods number (10.59, 9.67 and 11.89). Fb 1896, Fb 2486 and BGE 041470 can be used to develop a new genetic diversity in breeding aimed at increasing the mass of 100 seeds and seed productivity.


2018 ◽  
Vol 17 (2) ◽  
pp. 303
Author(s):  
ANDRÉ GABRIEL ◽  
MARCOS VENTURA FARIA ◽  
GUILHERME MENDES BATTISTELLI ◽  
EVANDREI SANTOS ROSSI ◽  
CARLOS AUGUSTO DA SILVA ◽  
...  

 RESUMO – O objetivo deste trabalho foi avaliar o desempenho agronômico e estabilidade fenotípica de híbridos topcrosses de milho oriundos do cruzamento com uma linhagem elite (testador), em quatro ambientes (Guarapuava- PR, Candói-PR, Guarda-Mor-MG e Paracatu-MG), utilizando os métodos Annicchiarico e AMMI para selecionar linhagens com elevado potencial genético. Foram avaliados 88 híbridos topcrosses e 12 híbridos comerciais (2B688, AG9010, AS1575, DKB390, GNZ2500, GNZ8132, GNZ9501, GNZ9505, P30F53, P30R50, P30F35 e Penta). O delineamento utilizado foi o látice triplo 10x10 e foram avaliadas as características agronômicas altura de planta (AP), altura de espiga (AE) e estabilidade produtiva de grãos (PG). Observou-se efeito significativo para genótipo, ambiente e interação genótipo x ambiente para a PG. A média de produtividade dos genótipos foi maior em Paracatu-MG (11.100 kg ha-1) que em Candói (9.654 kg ha-1), Guarapuava (9.456 kg ha-1) e Guarda-Mor (9.446 kg ha-1). Com base nos resultados de PG e estabilidade utilizando os métodos Annicchiarico e AMMI, o híbrido topcross HTC 136 mostrou ser o melhor para seguir no programa de melhoramento no processo de endogamia.Palavras-chave: Annicchiarico, AMMI, interação genótipo x ambiente, testador, Zea mayz L. AGRONOMIC PERFORMANCE AND STABILITY OF MAIZE TOPCROSSES IN MINAS GERAIS AND PARANÁ ABSTRACT – The objective of this study was to evaluate the agronomic performance and phenotype stability of top cross maize hybrids originated by crossing with an elite line (tester), in four environments (Guarapuava-PR, Candói- PR, Guarda-Mor-MG and Paracatu-MG), using the methods Annicchiarico and AMMI to select lines with high genetic potential. Thus, 88 top cross hybrids and 12 commercial hybrids (2B688, AG9010, AS1575, DKB390, GNZ2500, GNZ8132, GNZ9501, GNZ9505, P30F53, P30R50, P30F35 and Penta) were evaluated. The 10x10 triple lattice design was used evaluating the agronomic characteristics plant height (PH), ear height (EH) and yield stability of grain (YG). Significant differences were observed for genotype, environment and genotype x environment interaction for YG. The average productivity of the genotypes was superior in Paracatu-MG (11,100 kg ha-1) compared to Candói (9,654 kg ha-1), Guarapuava (9,456 kg ha-1) and Guarda-Mor (9,446 kg ha-1). The data on YG and stability using Annicchiarico and AMMI methods showed that the top cross hybrid HTC 136 is suitable to continue in the inbreeding process of the breeding program.Keywords: Annicchiarico, AMMI, genotype-environment interaction, tester, Zea mayz L.


2002 ◽  
Vol 139 (1) ◽  
pp. 47-53 ◽  
Author(s):  
M. A. DI RENZO ◽  
N. C. BONAMICO ◽  
D. D. DÍAZ ◽  
J. C. SALERNO ◽  
M. M. IBAÑEZ ◽  
...  

No genetic estimates for resistance to Mal de Río Cuarto (MRC) disease in Zea mays (L.) are currently available in the literature. Therefore, the objectives of this investigation were (i) to estimate the variance and heritability of partial resistance to MRC disease and of other agronomic traits from maize families and (ii) to examine associations among MRC disease severity values across different environments and between MRC and other agronomic traits. These estimations, obtained in an endemic area, could contribute to the design of efficient enhancement programmes and evaluation activity for the improvement of MRC resistance. The research was conducted by testing 227 F3 derived-lines from a cross between a susceptible dent line, Mo17, and a partially resistant flint line, BLS14, for MRC disease at two Río Cuarto locations in each of 2 years. The resistance of the lines, measured with a disease severity index (DSI), was normally distributed across environments. Genotypic variances were highly significant on all scoring environments. Estimates of genotype–environment interaction were also significant, suggesting that certain genotypes have little stability over different environments. For disease severity index all estimates demonstrated moderate heritabilities ranging from 0.44 to 0.56 and were similar when based on individual environments or across environment. Confidence interval widths ranged from 34.88 to 50.30% as large as the heritability point estimate. The correlations between environments were small enough to indicate that families did not rank similarly in individual environments for MRC resistance. Disease severity index correlated significantly (P<0.01) with plant height, leaf surface, leaf border, leaf length and tassel type. Heritability estimates for plant height and tassel type were 0.48 and 0.38 respectively and for the various leaf traits heritability values were very low. On the basis of the substantial genotype–environment interaction and the little association between DSI values in the different environments, selection for an increased resistance to MRC disease would require evaluation of germplasm across multiple years and locations. Tassel type would be a useful predictor of DSI and can be used effectively to improve screening procedures.


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