Modification of root properties with phosphate solubilizing bacteria and arbuscular mycorrhiza to reduce rock phosphate application in soybean-wheat cropping system

Mahanta, Dibakar; Rai, Rhitu; Dhar, Shiva; Varghese, Eldho; Raja, A.; Purakayastha, T. J.

doi:10.1016/j.ecoleng.2017.11.008

Cited by 38 publications

(20 citation statements)

References 32 publications

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“…Multiple linear regression analysis is used to measure the relationship of grain yield with the growth and yield attribute parameters. The function takes the following form: Y = a + bX 1 + cX 2 + dX 3 + eX 4 + fX 5 (4) where, Y is the predicted grain yield (q/ha), a is the intercept point, b, c, d, e and f are regression coefficients associated with effective tiller/m2, grain number/ear head, thousand grain weight (g), plant height (cm) and ear length (cm), respectively. Significant differences (p < 0.05) among means of experimental results were evaluated by analysis of variance (ANOVA) and means were compared by Tukey's Honest Significant Difference (HSD) Test, using SAS 9.3 version.…”

Section: Methodsmentioning

confidence: 99%

“…Principal component analysis (PCA) is a useful statistical technique which had found application in reduction of the original variables in a smaller number of underlying variables (principal component) in order to reveal the inter relationships between the different variables and to find the optimum number of extracted principal components (Mahanta et al, 2018). The date of sowing with different varieties and grain yield attribute parameters were superimposed in a single biplot of PCA with four zones of ordinate and were depicted in Fig.…”

Section: Principal Component Analysismentioning

confidence: 99%

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Optimization of sowing time for adaptation to climate change and higher productivity of barley in the mid-Himalayas

Mahanta

Bisht

Kant

et al. 2019

Wheat and Barley Research

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Optimization of sowing date of barley was assessed by conducting three years' experiment with different sowing dates and three popular varieties of barley in the mid-Himalayas. With the help of quadratic equation, it was estimated that maximum grain yield of barley could be achieved with sowing on 12 th November, which provided 8% higher yield compared to the existing recommended sowing date of 25 th October. The present recommendation will help to adapt the climate change situation. Thousand grain weight was the most important yield contributing attribute as found from the principal component analysis and correlation. Grain yield of barley could be modelled through multi-linear regression equation with the help of yield attributes for the mid-Himalayas. The multi-linear regression equation will be highly useful for policy makers to estimate the yield of barley of either a district or a state in the mid-Himalayas.

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Section: Methodsmentioning

confidence: 99%

Section: Principal Component Analysismentioning

confidence: 99%

Optimization of sowing time for adaptation to climate change and higher productivity of barley in the mid-Himalayas

Mahanta

Bisht

Kant

et al. 2019

Wheat and Barley Research

Self Cite

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“…Additionally, it is reported that the PSB when applied with other plant growth-promoting rhizobacteria (PGPR) could reduce P fertilizer application by 50% without any significant reduction in crop yields or BNF, allowing more rational use of Mahanta et al (2018). Therefore, the exploitation of PSM as bio-fertilizers holds great promise for sustaining crop production.…”

Section: Indirect Stimulation Of Bnf Via Bacterially Produced Hormonesmentioning

confidence: 99%

Will Phosphate Bio-Solubilization Stimulate Biological Nitrogen Fixation in Grain Legumes?

et al. 2021

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Biological nitrogen fixation (BNF) refers to a bacterially mediated process by which atmospheric N2 is reduced, either symbiotically or non-symbiotically, into ammonia (NH3) in the presence of the enzyme complex nitrogenase. In N2-fixing grain legumes, BNF is often hampered under low phosphorus (P) availability. The P status of legumes, particularly nodules, as well as P availability in the rhizosphere, play a vital role in regulating BNF. Aside from increasing P availability via fertilization, other plant traits (i.e., extensive rooting system and their spatial distribution, hyper-nodulation, root exudates, rhizosphere acidification, and heterogeneity) contribute to greater P uptake and hence more effective BNF. The positive interaction between P availability and BNF can be exploited through beneficial soil P solubilizing microorganisms (PSM). These microorganisms can increase plant-available P by modifying either rhizosphere soil processes or promoting plant traits, which lead to increased P uptake by the production of plant growth-promoting substances, both of which could indirectly influence the efficiency of BNF in legumes. In this review, we report on the importance of microbial P bio-solubilization as a pathway for improving BNF in grain legumes via PSM and P solubilizing bacteria (PSB). Because BNF in legumes is a P-requiring agro-ecological process, the ability of soil PSB to synergize with the rhizobial strains is likely a key belowground process worth investigating for advanced research aiming to improve rhizosphere biological functions necessary for sustainable legume-based cropping systems.

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“…Different vegetation types are believed to harbor different AMF communities (Kivlin et al, 2011) because of diverse host preferences among AMF species (Husband et al, 2002;Gosling et al, 2013). AMF community composition also changes with plant growth and plant community (Chaudhary et al, 2016;Wang et al, 2018) and bacterial dynamics (Pivato et al, 2009;Mahanta et al, 2018). In addition, abiotic factors affect AMF diversity, for example, litter removal (Sheldrake et al, 2017), nitrogen (N) and P addition (Jiang et al, 2018;Sheldrake et al, 2018;Zhao et al, 2018) and legacies of land use (Negrete-Yankelevich et al, 2020) because different AMF species have different nutrient acquisition abilities (Cozzolino et al, 2016).…”

Section: Research Article Abstractmentioning

confidence: 99%

Plant community and soil properties drive arbuscular mycorrhizal fungal diversity: A case study in tropical forests

Zhang

Quan

et al. 2020

Soil Ecol. Lett.

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Modification of root properties with phosphate solubilizing bacteria and arbuscular mycorrhiza to reduce rock phosphate application in soybean-wheat cropping system

Cited by 38 publications

References 32 publications

Optimization of sowing time for adaptation to climate change and higher productivity of barley in the mid-Himalayas

Optimization of sowing time for adaptation to climate change and higher productivity of barley in the mid-Himalayas

Will Phosphate Bio-Solubilization Stimulate Biological Nitrogen Fixation in Grain Legumes?

Plant community and soil properties drive arbuscular mycorrhizal fungal diversity: A case study in tropical forests

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