2020
DOI: 10.1080/01904167.2020.1765181
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Combined Application of Potassium and Zinc Improves Water Relations, Stay Green, Irrigation Water Use Efficiency, and Grain Quality of Maize under Drought Stress

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Cited by 19 publications
(8 citation statements)
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“…Therefore, we expected PA supplementation to induce a good CH transport, enhancing the kernel set and the final yield. As a result, WD reduced the CH content compared to the WW conditions in untreated plants, as previously observed by Hussain et al (2020) and Abbas et al (2021) . However, opposite results were also published.…”
Section: Discussionsupporting
confidence: 83%
“…Therefore, we expected PA supplementation to induce a good CH transport, enhancing the kernel set and the final yield. As a result, WD reduced the CH content compared to the WW conditions in untreated plants, as previously observed by Hussain et al (2020) and Abbas et al (2021) . However, opposite results were also published.…”
Section: Discussionsupporting
confidence: 83%
“…The combined application of K and Zn (K60Zn12) has a significant effect on the gas exchange (A, E, gs, and Ci) parameter of both inbred and hybrid cultivars of maize crop than under control conditions. As both the nutrients are involved in the improvement of water relations with chlorophyll contents, they encourage the improvement of many biochemical and physiological processes [ 24 ]. Zinc application manipulates more influence on chlorophyll formation and carbonic anhydrase activity, which is involved in assisting the diffusion of CO 2 towards chloroplast from the liquid phase of a cell [ 25 ], which ultimately endorses the photosynthetic rate.…”
Section: Discussionmentioning
confidence: 99%
“…Meta-analysis models are particularly useful for identifying patterns when data from multiple sources are combined and analyzed [23][24][25][26][27][28][29][30][31][32][33][34][35][36][37][38][39][40][41]. Thus, for the comparison of water stress and N fertilization effects on grain quality components, random effects meta-analysis models were fit following the log response ratio (lnRR) approach [42].…”
Section: Meta-analysismentioning
confidence: 99%