Effect of Integrated Nutrient Management Practices on Growth and Yield of Chickpea under Different Chickpea-Based Cropping Systems in Western Rajasthan, India

A field experiment was carried out during rabi season of 2020-21 in Pearl millet – Chickpea, Clusterbean + Sesamum (6:2) - Chickpea system to study the effect of nutrient management practices ((1.) Recommended fertilizers (100% RDF) (2.) 75% RDF + 5 t FYM (3.) 75% RDF + 5 t FYM + Biofertilizers (4.) 50% RDF + 5 t FYM + Biofertilizers + Crop residue) on crop growth, yield attributes and yield of chickpea. The results of the study revealed that the integration of 75% of the Recommended Dose of Fertilizers (RDF) with farmyard manure (FYM) and biofertilizers (BF) significantly enhanced chickpea growth and yield. This improved plant height, dry matter accumulation, branch number, and pod count, reflecting the synergistic effect of combining organic and inorganic inputs. This approach not only boosted the seed yield by 22.11% compared to the 75% RDF + 5t FYM but also matched the performance of the 100% RDF, offering a more sustainable cultivation strategy. These findings underscore the importance of adopting integrated nutrient management practices in chickpea cultivation, particularly in the arid region of western Rajasthan. Such practices have the potential to improve crop performance, increase yields, and promote sustainable agriculture in the area.

Irrigation Scheduling and Nitrogen Management Practices Affected the Nutrient Concentration of Moth Bean under Arid Ecosystem

Efficient utilization of water and fertilizers is important for maximizing yield for moth bean production through improvement the nutrient use efficiency under arid ecosystem. The aim of this study was to evaluate the effects of irrigation and nitrogen fertilizers on growth, yield and nutrient content of moth bean in the western zone of Rajasthan during 2020 & 2021. Treatments included three levels of nitrogen (N1:15 kg N as basal + foliar spray of urea (2%) at flowering stage, N2: 15 kg N + foliar spray of urea (2%) at pod development stage and N3: 15 kg N + foliar spray of urea (2%) at flowering and pod development stages) and levels three levels of irrigation (I1: single irrigation at branching stage, I2: two irrigation at branching + pod development stages and I3: two irrigation at flowering + pod development stages) were laid down in factorial combinations of randomized block design with three replications. The results revealed that 15 kg N + foliar spray of urea (2%) at flowering and pod development stage recorded significantly higher nitrogen, phosphorus and potassium content in seed and haulm over 15 kg N + foliar spray of urea (2%) at flowering stage and 15 kg N + foliar spray of urea (2%) at pod development stage. However, the phosphorus content in seed and haulm was not significantly influenced by N3 and statistically equivalent with N2 and N1 during 2020 and 2021. Potassium content in seed showed significant enhancement under N3, while K content in haulm was not affected significantly during 2020 and pooled basis. Further, irrigation management practices did not show any significant improvement on N, P, K content in seed and haulm during years of 2020 and 2021. While, N content in seed and haulm was significantly improved under I2 over I3 and I1 on pooled basis. Thus, 15 kg N as basal application + foliar spray of urea (2%) at flowering and pod development stages with two irrigations at branching + pod development stages improved the nutrient content in moth bean in arid condition.

Multivariate Analysis and Screening of Moth Bean Accessions for Biotic Stresses in the Arid Region of Western India

The present investigation assesses the genetic diversity and resilience of moth bean (Vigna aconitifolia) against the biotic stresses in the arid zones of India. This research was carried out at the ICAR-Indian Institute of Pulses Research, Regional Research Centre, Bikaner, and employed an augmented design to analyze 300 accessions for morphological and agronomic traits. The study integrated Pearson’s correlation, hierarchical clustering, and principal component analysis to understand trait interrelationships and genetic variance. The number of clusters per plant, number of pods per plant, plant height and test weight showed a highly significant and positive correlation, whereas days to 50% flowering and number of branches per plant showed a negative correlation with seed yield per plant. Hierarchical clustering subdivided accessions into fourteen clusters, and cluster1 best suited to arid conditions with 21 accessions. Principal component analysis with eigenvalues classified the accessions into eight principal components. PC1 contributed the maximum variation that is 32.21 percent, followed by other clusters. Cercospora leaf spot had the highest disease incidence among the three diseases (yellow mosaic virus, cercospora leaf spot and leaf curl virus diseases). The findings underscore the potential of exploiting genetic variability in moth beans for breeding programs aimed at enhancing yield and stress tolerance, crucial for sustainable production in resource-poor arid ecosystems.