Effect of Cow Urine-Based Bioformulations on Growth and Physiological Responses in Mungbean Under Soil Moisture Stress Conditions

2019 ◽  
Vol 90 (1) ◽  
pp. 123-133
Author(s):  
Jagadish Rane ◽  
Ajay Kumar Singh ◽  
Priya George ◽  
Venkadasamy Govindasamy ◽  
Abhishek Cukkemane ◽  
...  
Keyword(s):  
Soil Moisture ◽  
Physiological Responses ◽  
Moisture Stress ◽  
Stress Conditions ◽  
Soil Moisture Stress ◽  
Cow Urine

Comparative Effects of Soil Moisture Stress and Restricted Root Zone Volume on Morphogenetic and Physiological Responses of Soybean [Glycine max(L.) Merr.]

1985 ◽  
Vol 36 (1) ◽  
pp. 25-38 ◽  
Author(s):  
DONALD T. KRIZEK ◽  
AVNER CARMI ◽  
ROMAN M. MIRECKI ◽  
FREEMAN W. SNYDER ◽  
JAMES A. BUNCE
Keyword(s):  
Soil Moisture ◽  
Glycine Max ◽  
Root Zone ◽  
Physiological Responses ◽  
Moisture Stress ◽  
Soil Moisture Stress ◽  
Glycine Max L

Physiological Responses to Sorghum Hybrids and Parental Lines to Soil Moisture Stress 1

1984 ◽  
Vol 76 (2) ◽  
pp. 223-228 ◽  
Author(s):  
W. C. Hofmann ◽  
M. K. O'Neill ◽  
A. K. Dobrenz
Keyword(s):  
Soil Moisture ◽  
Physiological Responses ◽  
Moisture Stress ◽  
Soil Moisture Stress ◽  
Parental Lines

scholarly journals Screening of Rice Cultivars for Morpho-Physiological Responses to Early-Season Soil Moisture Stress

Rice Science ◽  
2017 ◽  
Vol 24 (6) ◽  
pp. 322-335 ◽  
Author(s):  
Bhupinder Singh ◽  
Kambham Raja Reddy ◽  
Edilberto Diaz Redoña ◽  
Timothy Walker
Keyword(s):  
Soil Moisture ◽  
Physiological Responses ◽  
Moisture Stress ◽  
Rice Cultivars ◽  
Soil Moisture Stress ◽  
Early Season

scholarly journals Leaf Area Index Changes Explain GPP Variation across an Amazon Drought Stress Gradient

2019 ◽  
Author(s):  
Sophie Flack-Prain ◽  
Patrick Meir ◽  
Yadvinder Malhi ◽  
Thomas Luke Smallman ◽  
Mathew Williams
Keyword(s):  
Soil Moisture ◽  
Leaf Area Index ◽  
Leaf Area ◽  
Photosynthetic Capacity ◽  
Physiological Responses ◽  
Stress Gradient ◽  
Moisture Stress ◽  
Relative Importance ◽  
Soil Moisture Stress ◽  
Area Index

Abstract. The capacity of Amazon forests to sequester carbon is threatened by climate change-induced shifts in precipitation patterns. However, the relative importance of plant physiology, ecosystem structure, and trait composition responses in determining variation in GPP, remain largely unquantified, and vary among models. We evaluate the relative importance of key climate constraints to gross primary productivity (GPP), comparing direct plant physiological responses to water availability and indirect structural and trait responses (via changes to leaf area index (LAI), roots and photosynthetic capacity). To separate these factors we combined the Soil-Plant-Atmosphere model with forcing and observational data from seven intensively studied forest plots along an Amazon soil moisture-stress gradient. We also used machine learning to evaluate the relative importance of individual climate factors across sites. Our model experiments showed that variation in LAI was the principal driver of differences in GPP across the gradient, accounting for 33 % of observed variation. Differences in photosynthetic capacity (Vcmax and Jmax) accounted for 21 % of variance, and climate (which included physiological responses) accounted for 16 %. Sensitivity to differences in climate was highest where shallow rooting depth was coupled with high LAI. On sub-annual timescales, the relative importance of LAI in driving GPP increased with soil moisture-stress (R2 = 0.72), whilst the importance of solar radiation decreased (R2 = 0.90). Given the role of LAI in driving GPP across Amazon forests, improved mapping of canopy dynamics is critical, opportunities for which are offered by new satellite-based remote sensing missions such as GEDI, Sentinel and FLEX.

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