Selection of Suitable Genotypes of Lentil (Lens culinaris Medik.) under Rainfed Conditions in South Italy Using Multi-Trait Stability Index (MTSI) (original) (raw)
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Stability Analysis for Seed Yield in Lentils (Lens Culinaris MEDIK.)
2011
The development of genotypes, which can be adapted to a wide range of diversified environment, is the ultimate goal of plant breeders in a crop improvement program. In this study, linear regression were used to analyze the response to environmental conditions of lentil (Lens culinaris Medik) genotypes taking as independent variable (X) the average yield of all lentil genotypes in four experiences (two locations and two years). Yield stability was assessed by determining the coefficients of variation. Seven lentil genotypes were tested for seed yield in two locations of Southern Romania environmental conditions during 2008 and 2009 growing seasons. On the basis of the regression coefficient g enotypes Idlib-1, Idlib-2, Idlib-3, Hurani and Kurdi had general adaptability to over environments and genotypes Idlib-4 and Oana were suitable for favorable environments. The result of coefficient of variation indicated that the same genotypes were more stable. Among these Idlib-3 genotype was ...
Genotype x environment interaction and stability analysis for yield and its components in lentil
Genotype x environment interaction and stability analysis for yield and its components in lentil, 2013
"The objective of this investigation is to determine the performance and stability of 24 lentil (Lens culinaris Medik.) genotypes under a wide range of variable environments. The regression model and ecovalence (Wi) were used to analyze the response of the lentil genotypes to variable environmental conditions for yield and some of its components in six experiments in three seasons under two locations. Results indicated that both environmental conditions (E) and studied genotypic accessions (G) influenced significantly on the performance of yield and yield components. Moreover, the performance of genotypes varied highly significantly from environment to another for all traits, except 100 seed weight as proved by significance of G x E. Therefore, further stability analyses were performed for traits that recorded significant G x E. Four genotypes were stable for pods plant-1 either measured by Wi or S2 d. For this trait, all genotypes were non responsive to environmental conditions except PL81-17 which may behave positively to pod bearing conditions. For seed yield plant-1 only Sinai 1 was significantly unstable measured by Wi and S2 d, respectively. The significance of b's for seed yield feddan-1 proved that only 3 genotypes were responsive to environments. Two of them (XG88-17 and Giza 51) may behave better under good environments and the third (Giza 4) may be recommended under poor ones. It may be concluded in lentil breeding programs, which the performance of genotypes under each location should be evaluated firstly and those reliable ones will be tested for stability across various environmental conditions prior to recommendations."
Turkish Journal of Agriculture - Food Science and Technology, 2018
Lentil crop has largely been affected by global climate changing, particularly, due to rainfall and temperature changing and variability. Hence, the experiment was conducted in Central Highlands of Ethiopia, namely Akaki, Chefe Donsa and Bishoftu Agricultural Research Centre, in the 2009 and 2010 cropping seasons to assess the genotypic variation of lentil for growth and yield performances. Five lentil genotypes viz. 87S-93549 X EL-103-16, 87S-93549 X EL-103-9-1, Alemaya X FLIP 88-41L-02-AK-14, Alemaya X FLIP 88-41L-02-AK-6 were arranged in randomized complete block design with four replications at all locations. The result of study revealed that the genotype 87S-93549 X EL-103-9-1 produced the highest seed yield of 1985.90 and 2500.00 kg ha-1 during 2009 and 2010 cropping seasons, respectively, at Akaki. On the other hand, the genotype Alemaya X FLIP 88-41L-02-AK-14 gave the highest seed yield (4189.1 kg ha-1) at Chefe Donsa in 2009 cropping season. The genotype X FLIP 88-41L-02-AK...
Australian Journal of Crop Science, 2012
Multi-environmental tests were done for variety recommendation in the final stages of breeding programs for awareness of the importance of genotype × environment (GE) interactions. Sixteen genetically improved lentil genotypes and two cultivars were grown in 12 semiarid environments in Iran during 2007 to 2009. Results of combined ANOVA showed there were significant GE interactions and that genotypes varied significantly for seed yield. According to environmental variance and coefficient of variation statistics Type I, genotypes G7, G8 and G11 were the most stable genotypes while based on four parameters, which used GE magnitude, genotypes G5, G13 and G18 were the most stable. Results of the principal component (PC) analysis and correlation analysis of different stability concepts (Type I to Type IV) and seed yield indicated that only the Type II stability method would be useful for simultaneous selection for high yield and stability. The most favorable genotypes for a given environ...
2021
Lentil is a versatile and profitable pulse crop with high nutritional food and feed values. The objectives of the study were to determine suitable locations for high yield and quality in terms of production and/or breeding, and to identify promising genotypes. For this reason, five lentil genotypes were evaluated in a multi-location network consisting of ten diverse sites for two consecutive growing seasons, for seed yield (SY), other agronomic traits, crude protein (CP), cooking time (CT) and crude protein yield (CPY). A significant diversification and specialization of the locations was identified with regards to SY, CP, CT and CPY. Different locations showed optimal values for each trait. Locations E4 and E3, followed by E10, were “ideal” for SY; locations E1, E3 and E7 were ideal for high CP; and the “ideal” locations for CT were E3 and E5, followed by E2. Therefore, the scope of the cultivation determined the optimum locations for lentil cultivation. The GGE-biplot analysis rev...
Journal of Plant Sciences, 2021
Lentil (Lens culinaris Medik.) as grain legumes it ranks seventh and it is a valuable source of dietary protein. Genotype x environment interaction is the main determinant in identifying genotypes with wider adaptation. A total of seventeen lentil genotypes was used in this study, where the evaluation was made at Sinana and Agarfa for three years 2016-2018. In this study it was revealed that significant variation among the genotypes, locations and genotypes by location interaction for mean grain yield was observed It is also observed in the AMMI analysis significant variation in the first two IPCA components. Accordingly, G1, G6, G13, G14, G16 and G17 gave grain yield above the grand mean. Furthermore, from the stability indicators like AMMI Stability Value: G4, G15 G8, G6, G10, had lower ASV value and showed stabile performance while G7, G11 and G1 had relatively lower ASV and showed moderately stable performance over the testing environments indicating wide adaptation. Furthermore, based on the Genotypes Selection Index (GSI) the most stable genotypes with a high grain yield were G1 and G15. Therefore, we have identified that these two genotypes as candidate genotypes to be verified for possible release in the highlands of bale, Sothern Ethiopia and similar agro-ecologies.
Genetic Resources and Crop Evolution, 2012
Genetic relationships, agronomic, nutritional and technological traits of ten Italian landraces, two improved lines and two cultivars of lentil (Lens culinaris Medik.) were investigated using a multidisciplinary approach. Seed storage proteins, used as biochemical markers, were able to detect polymorphisms with variability mainly related to the polypeptide abundance. Microsatellite (SSR) molecular markers provided very useful information on genetic variation and relationships among landraces, with polymorphic fragments able to discriminate all the accessions. Lentil landraces were grouped in different clusters and sub-clusters principally on the basis of their geographical origin. The highest levels of genetic diversity were observed for lentils from 'Castelluccio di Norcia', 'Colliano' and 'Villalba'. Field trials, performed in two locations of Southern Italy, revealed a high influence of location on yield. Comparing performances at both tested locations, the best landraces were 'Linosa' and 'Valle di Nevola' suggesting that these have the highest adaptability. Technological and nutritional data together with the agronomic ones evidenced that 'Linosa' lentil is the best landrace, however also 'San Gerardo' deserves some attention.
Frontiers in Plant Science
Iron and zinc malnutrition is a global humanitarian concern that mostly affects newborns, children, and women in low- and middle-income countries where plant-based diets are regularly consumed. This kind of malnutrition has the potential to result in a number of immediate and long-term implications, including stunted growth, an elevated risk of infectious diseases, and poor development, all of which may ultimately cause children to not develop to the fullest extent possible. A determination of the contributions from genotype, environment, and genotype by environment interactions is necessary for the production of nutrient-dense lentil varieties that offer greater availability of iron and zinc with a high level of trait stability. Understanding the genotype and environmental parameters that affect G x E (Genotype x Environment) interactions is essential for plant breeding. We used GGE(Genotype, Genotype x Environment interactions) and AMMI (Additive Main effects and Multiplicative In...
Genotype x environment interaction and stability analysis in lentil (Lens culinaris Medik.)
International Journal of Environment, Agriculture and Biotechnology, 2016
Genotype x environment interaction was evaluated under eight environments during lentil growing season of 2013/14 and 2014/15 for grain yield and their component characters of twenty one promising genotypes selected from previous trial of lentil. The variances estimated due genotype, environment and genotype x environment interaction were found to be different significantly for all the characters studies indicating distinct nature of genotypes, environments and genotype x environment interactions in phenotypic expression. High estimates of sum of square (SS) for all the traits are expressed by environment. The explained percentage of grain yield by environment, genotype and genotype environment interaction were 54.86, 19.86 and 25.28 respectively. To find out the effects of GEI on grain yield and its attributing characters, the data were subjected to Additive Main effects and Multiplicative Interaction (AMMI) .The results finally indicated that AMMI stability value and AMMI biplot are informative methods to explore stability and adaptation pattern of genotypes in practical plant breeding and in subsequent variety recommendations. In addition, finding mega environments help to identify the most suitable lentil cultivars that can be recommended for areas within the mega-environment in either one or more test locations. The genotype RL39 (1.254 mt ha-1) and LL10071 (1.196 mt ha-1) produced higher grain yield) than all other genotypes over the environments and performed better at most of the places. The genotypes ,F2003-49L, Arun, 39-S-66L, RL-44, and ILL10071 were found to be comparatively stable as their performance were hardly affected by the G x E interaction and thus would perform well across a wide range of environments. These genotypes produced higher grain yield than all checks.