In the current experiment, 102 chickpea.germplasm showed wide range of variation for various characters were evaluated during Rabi 2017-18 along with BG 372, Udai and Pant G 186 as checks varieties in Augmented Block Design at Agronomy Research Farm of Acharya Narendra Deva University of Agriculture and Technology, Narendra Nagar (Kumarganj), Ayodhya (U.P.). The observations were recorded on 11 quantitative characters viz., days to 50 per cent flowering, days to maturity, primary branches per plant, secondary branches per plant, plant height (cm), pods per plant, seeds per pod, biological yield per plant (g), seed yield per plant (g), harvest index (%) and 100-seed weight (g). A statistical investigation of each character's genetics yielded a number of results. Higher seed yield per plant was generated by genotypes GJG 1416, followed by BG 256, GJG 1416, PhuleG0819. Seed yield per plant had positive and extremely significant associations with secondary branches per plant, pods per plant, seeds per pod, biological yield per plant, harvest index, and 100-seed weight. Primary branches per plant were shown to have positive significant associations with seed output per plant, where as plant height was determined to be non-significant. It showed a poor, non-significant correlation with the number of days until 50% blooming and the number of days till maturity. Biological yield per plant (g) and the Harvest index were found to be significant direct components of seed yield per plant by path analysis. The traits mentioned above that were significant direct and indirect components ought to be taken into account when creating a chickpea selection strategy that would produce high yielding varieties. The 11 clusters formed in divergence analysis contained genotypes of heterogeneous origin there by indicating no parallelism between genetic and geographic diversity. In this context, the maximum inter-cluster distance was recorded between cluster X and XI (12.201) followed by cluster III and XI (11.254), cluster VI and XI (11.125) and cluster VII and XI (10.875). Therefore, crosses between members of cluster separated by high inter-cluster distances are likely to throw desirable segregants.
In the present study, 102 chickpea germplasm showed wide range of variation for various characters evaluated during Rabi 2017-18 along with BG 372, Udai and Pant G 186 as checks varieties. The experiment was conducted in Augmented Block Design at Agronomy Research Farm of Narendra Deva University of Agriculture and Technology, Narendra Nagar (Kumarganj), Ayodhya (U.P.). The observations were recorded on 11 quantitative characters viz., days to 50 per cent flowering, days to maturity, primary branches per plant, secondary branches per plant, plant height (cm), pods per plant, seeds per pod, biological yield per plant (g), seed yield per plant (g), harvest index (%) and 100-seed weight (g). After analyzing the data statistical study of each characters genotypes revealed a wide range of results Genotypes GJG 1416 followed by BG 256, GJG 1416, PhuleG0819, IPC 2011-141 and IPC 1014 produced higher seed yield per plant and these genotypes constituted the top significant group for these traits..On other hand genotypes PDG 84-16, IPC 1014, H06-6, GJG 1401, GJG 1403 and JG2016-44 for early maturity;; BG 256, GJG 1209, GJG 1401, GJG 1416 and JG 11 were identified for high number of pods per plant; GJG 1416, GJG 1001, BG 256, RS 2011-06 and BG 3027 were identified for bold seed size; IPC 1014, PhuleG0805 and IPC 2010-134 for harvest index were found promising which may be used as potential donors for the traits in chickpea improvement programme. Seed yield per plant exhibited positive and highly significant correlations with secondary branches per plant, pods per plant, seeds per pod, biological yield per plant, harvest index and 100-seed weight. The positive significant correlations of seed yield per plant were found with primary branches per plant and non-significant with plant height. It exhibited negative non-significant association with days to 50 per cent flowering and days to maturity.
Soil quality deterioration, especially in intensive cropping system has become a serious problem for crop productivity. Consequently, strategies for sustainable crop production and soil health are urgently required. Therefore, a field experiment was conducted to study the impact of organic and inorganic nutrient sources on yield attributes and yield of maize-mustard cropping system during two consecutive kharif and rabi seasons of 2019-20 and 2020-21, respectively. The experiment was laid out in randomized block design assigning eight treatments of organic and inorganic nutrient sources comprising of (T1) RDF (120:60:40 kg N:P2O5:K2O ha-1), (T2) RDF + Zn, (T3) RDF + S, (T4) RDF + Zn + S, (T5) RDF + VC (5 t ha-1), (T6) RDF + VC (10 t ha-1), (T7) RDF + FYM (5 t ha-1) and (T8) RDF + FYM (10 t ha-1) and were replicated thrice. The results reported that the higher yield attributes and yield of maize viz., number of cobs plant-1, number of seeds cob-1, cob length, seed yield, stover yield and biological yield and for mustard viz., siliquae plant-1, number of seeds siliquae-1, length of siliquae, seed yield, stover yield and biological yield were recorded with application of RDF + VC (10 t ha-1) which was statistically at par with RDF + FYM (10 t ha-1). However, seed index/test weight and harvest index of maize-mustard cropping was failed to show any significant effect due to above treatments.
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