Stability Analysis for Seed Yield in Lentils (Lens Culinaris MEDIK.) (original) (raw)
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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."
2021
This research was conducted in 2015 year in Kahramanmaras province (37°32'09.5"N 36°55'01.2"E) with 3 lentil genotypes (CAGIL, FIRAT-87, and FLIP 2005-20 L). In the research, direct and indirect effects of yield components on seed yield were examined by correlation and path coefficient analysis. The correlation coefficients between the investigated features were found to be insignificant. According to the path coefficients, the highest positive direct effect on seed yield was determined as pod number per plant (p=4.015). On the other hand, the highest negative direct effect on seed yield was obtained from plant height (p=-3.606). The indirect effect of the seed number per plant over number of days until maturity on the seed yield was determined as the highest positive indirect effect (p=55.546%). The indirect negative highest effect on seed yield was determined in the pod number per plant over thousand seed weight (p=51.488%). As a result, the number of pods per plant should be taken into consideration by the breeders due to direct effect of it was positive and high.
Stability Parameters in Lentil Genotypes
El-Cezeri Fen ve Mühendislik Dergisi, 2018
Total 20 lentil genotypes were examined for assessment stability in different environments for grain yield in Southeastern Anatolia of Turkey. Genotypes and genotypes x environments interactions were significant for grain yield. The regression coefficient, deviations of the regression coefficients, coefficient of variation, ecovalence and stability variance were computed for genotypes. Genotypes FLIP2011-26L, ILL10975 and Firat 87 with a high stability (b) and high grain yield would be adapted to a wide range of growing conditions in a given production area with above average yield. The stability variance (σ2i) revealed that the lentil genotypes Kafkas, Cagil and FLIP2009-55L had the smallest variance across the environments, while the genotype Firat 87 had the largest stability variance (σ2i).
Annals of Biological Research, 2012
"In this study yield and seed yield components of twenty nine lentil (Lens culinaris Medik) genotypes were compared in a used Pilot project used augmented as a randomized complete block design with three replications, was carried out in Ardabil Agricultural Research Station, in 2010. traits Average based on 10 plant competitors who were randomly selected and analyzed following measurements: green Percent, days to flowering time, number of hooks, hook size, grain yield per unit area, days to reach a plant height, Height, lowest pod, harvest index, number of filled pods per plant, empty pods per plant, seed number per 100 pods, number of primary branches per plant, number of secondary branches per plant, biomass and seed weight. Results showed highly significant correlation between grain yield and green Percent, plant height, number of filled pods per plant, biological yield, plant height, pod number per plant, seed number per 100 pods, biomass and seed weight. Stepwise regression analysis of grain yield with other traits showed that the increase in biomass and reduce the number of secondary branches will have a positive effect on yield."
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...
Improving crop output requires optimizing seed rate, especially in areas with diverse agroclimatic conditions. This study looks at how varying seed rates affect the production of several cultivars of lentils (Lens culinaris) in Quetta, a semi-arid area with variable weather and little precipitation. The best planting density for each of the four lentil cultivars was tested using varying seed rates. Two growing seasons were used for the experiment in order to account for environmental variability. Based on seed rates, the results showed significant variation in yield, with both under-and overseeding resulting in insufficient plant growth and production losses. Varying seed densities required different seed rates to maximize output, highlighting the need to tailor planting density to the unique genetic characteristics of each variety of lentil. The findings suggest that lentil productivity can be significantly increased by adjusting seed rates according to local climatic conditions and varietal kinds. This research provides valuable data for lentil growers in Quetta and similar regions, along with actionable recommendations for increasing yields through optimal seeding rates. To evaluate the long-term effects of varying seed rates on soil health and overall agricultural sustainability in semi-arid settings, more research is suggested.
Agronomy
Lentil (Lens culinaris Medik.) is a popular legume crop in the Mediterranean region, widely grown for its nutritious seeds and improving soil fertility. Lentil yield is a critical and challenging trait for crop genetic improvement because it is influenced by various factors that have detrimental effects on seed yields and seed quality traits. This research was carried out in Italy between 2017 and 2019 to identify high-performing stable genotypes presenting multiple desirable traits and to assess the seed quality of 13 lentil accessions in the field. According to the results of the multi-trait stability index (MTSI), (1) only three accessions (Altamura, Easton, and Caltagirone) fared better in various environmental conditions, and (2) the selected accessions had strength toward seed yield (SY), above-ground biomass (AGB), and 1000-seed weight (THS). The genotype × environment interaction (GEI) effects were highly significant for all traits. During the third growing season, most lent...
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...
Stability for different characters in variable environments in Lentil (Lens culinaris Medik.)
Electronic Journal of Plant Breeding, 2016
Present research work was undertaken to estimate the genotype and environment interactions of 48 lentil genotypes across different environments, to identify the suitable genotypes for heat tolerance in lentil. Stability and adaptation through different stability parameters and performance traits of 48 lentil genotypes were studied. Genotypes IC201655 and IC201786 showed high seed yield and pods/plant stability. The genotype Asha recorded general adaptation showing above population mean for seed yield/plant, 100 seed weight and harvest index. Genotype Howrah local 2 recorded such trend for seed yield and harvest index. Howrah local 2 also recorded days to maturity close to population mean. Genotype North 24 Parganas local recorded such trend for harvest index and 100 seed weight (above population mean) and days to maturity (below population mean). Genotype IC201710 would likely to perform well under favourable situation for seed yield/plant, pods/plant and harvest index. Correlation among stability estimate revealed that there were high significant correlations between seed yield and pods per plant. Therefore if pods per plant are stable then seed yield will also be stable. These findings can be very useful in lentil breeding programme related to heat tolerance.(based on what?)
The present study was conducted to assess the genetic variability parameters and associations among the yield, yield attributing and nutritional traits. Variation analysis revealed a narrow difference between PCV and GCV estimates for most of the characters except seed/pod, biological weight and seed yield per. All traits show high heritability coupled with high genetic advance for most of the traits suggesting the preponderance of additive gene action. Correlation coefficient study revealed that seed yield/plant shows significant & positive relationship with biological weight, pods/plant, harvest index, hundred seed weight & seed/pod. The result of association analysis revealed that biological yield per plant and harvest index were the most important components for getting higher yield. The lentil genotypes were also characterized for stem, flower, leaf, growth habit and seed traits as per PPV&FRA guidelines showing considerable variability for all characters studied.