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Growth and productivity of greengram (Phaseolus radiatus) in relation to micronutrients application on rice fallow land
Abstract
A field experiment was conducted during the spring season of 1995 and 1996 at Baruipur, to study the effect of micronutrients on physiological parameters in relation to yield of greengram (Phaseolus radiatus L.) on rice fallow Gangetic alluvial land (Entisol). Application of muiti-micronutrients followed by Zn alone resulted in better physiological parameters like dry-matter production (DM), leaf-area index (LAI), crop-growth rate (CGR), net assimilation rate (NAR) and yield components leading to higher grain yield compared with sole application of Mn, Cu, B, Mo and Fe. Multi-micronutrients and Zn resulted in 39 and 34% higher yield respectively over no micronutrient. There was a positive relation between DM, LAI, CGR and yield, and an inverse relationship between NAR and yield. The yield was not at all impaired despite inverse relation between NAR and yield, probably because of a good balance between photosynthesis and respiration.
... stover yield was due to increase in growth characters like plant height, number of branches per plant, number of pods per plant and dry matter accumulation due to adoption of all inputs given to the crop. The better plant growth and improved yield attributes finally led to higher grain and stover yields. These results confirm with the findings of Sarkar . (1998). ...
Field experiment was conducted during season of 2016-17 to investigate zero tilled cowpea (L.) grown with various inputs under Konkan condition. The treatments comprised of absolute control (T), weed control (T), T + recommended dose of fertilizers (RDF; 25:60:40 kg N:P:K ha) (T), T + bio-fertilizers (T), T + micronutrients (T), T + plant protection (T), T + paclobutrazol (T), T + one irrigation at pod filling stage (T). The treatment T was found significantly superior for all the growth parameters, yield attributing characters, protein content, grain and straw yield followed by treatment T. However both the treatments remained statistically at par with each other, but found significantly superior over rest of the treatments. The significantly lowest grain and straw yield was recorded by treatment T (absolute control) where no input was given to crop. Increase in grain yield due to treatments T , T , T , T , T , T and T over treatments T was to the tune of 48.44, 64.20, 67.27, 71.09, 76.43, 76.84 and 82.26 per cent, respectively.
[1] Leaf surface area per unit ground cover (leaf area index, LAI) is one of the major controls on plant productivity and biospheric feedbacks on atmospheric energy and water exchanges. Nearly all vegetation and land-surface models include parameterizations of LAI, however not much research currently focuses on the validation of simulated responses of LAI to environmental change. The objective of our research was to quantitatively review the plant science literature to extract information on the response of LAI to variations in soil moisture, soil fertility and atmospheric CO2. Our synthesis confirms that LAI is likely co-limited by a number of resources, including water, nitrogen and light. Atmospheric CO2 influences LAI in much the same manner as other plant resources. When CO2 supply is strongly limiting to gross primary production (i.e., at relatively low CO2 concentrations), LAI is strongly correlated with CO2, whereas when CO2 is abundant, LAI sensitivity to CO2 dramatically decreases. Such a nonlinear relationship between leaf area production and atmospheric CO2 may introduce a potential bias for global change modeling, particularly in the simulation of low-density vegetation that has the potential to significantly increase canopy size without inducing self-shading.
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