Oat (Avena sativa L.) is an important multi-purpose crop, cultivated for fodder, feed and grain purpose. Earlier oat was used for forage purpose but now with increasing health related issues as well as food security under changing climatic conditions; this crop has been emerged as sustainable dual purpose crop. Oat has emerged as a beneficial grain cereal for human consumption. Generally diverse individuals are likely to produce more heterotic effects during the crossing programme and desirable segregants are also produced. Therefore, in this present research, a total of 56 genotypes were evaluated for sixteen yield and yield contributing traits. K-means clustering and principal component analysis was done using R studio software. From clustering the genotypes were grouped in 4 cluster. Out of which cluster 1 and cluster 3 were most diverse. Highest cluster mean value for maximum traits was observed for cluster 3 as well. Principal component analysis showed that PF-1 and PF-2 was regarded as most important for yield factors. It was seen that PF-1 was loaded on seed yield, axis length and days to 50% flowering while PF-2 on green fodder yield, dry matter yield and plant height. Biplot depicted that variation in traits dry matter yield, green fodder yield, days to 50% flowering, seed yield and plant height was contributed by both principal component. Genotypes selected from diverse clusters can be incorporated in hybridization crop improvement programme.
With increasing population and health-related problems, more emphasis is given to substitutes for generally grown cereal crops. It is widely cultivated for forage purposes because of its high regenerating capability. Oat grain has tremendous health benefits. Therefore the study of variability and correlation among yield contributing traits becomes important. Keeping this in view, in the present research sixteen morphological traits were studied for fifty six diverse oat genotypes. The experiment was conducted in RCBD design during Rabi 2017-2018. Significant variation was seen for all the traits under study. High GCV and PCV were seen for most of the most of traits except plant height, days to 50% flowering, days to maturity. High heritability coupled with high genetic advance was observed for most of the characters viz., flag leaf length, leaf length, leaf width, leaf stem ratio, internode length, number of tillers plant-1, peduncle length, axis length, number of spikelets plant-1, seed yield plant-1, 100-seed weight, green fodder plant-1 and dry fodder plant-1. Genotypes namely HFO878, HFO-614, HFO-879 and HFO-707 showed good performance for both seed yield as well as green fodder yield. A study of variability, genetic advance, heritability and correlation will provide an opportunity for fruitful selection of the genotypes based on traits with high genetic advance and heritability and showing positive significant correlation with economic yield. Among the different traits which showed positive significant correlation with seed yield and green fodder yield, interestingly tillers plant-1 showed positive significant correlation both.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
hi@scite.ai
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.