Warming and water deficit impact leaf photosynthesis and decrease forage quality and digestibility of a C4 tropical grass

2019 ◽  
Vol 165 (2) ◽  
pp. 383-402 ◽  
Author(s):  
Eduardo Habermann ◽  
Eduardo Augusto Dias de Oliveira ◽  
Daniele Ribeiro Contin ◽  
Gustavo Delvecchio ◽  
Dilier Olivera Viciedo ◽  
...  
2020 ◽  
Vol 19 (9) ◽  
pp. 2216-2228
Author(s):  
Yu-xiu YE ◽  
Zhang-rong WEN ◽  
Huan YANG ◽  
Wei-ping LU ◽  
Da-lei LU

1994 ◽  
Vol 63 (2) ◽  
pp. 339-344 ◽  
Author(s):  
Michihiro WADA ◽  
Luiz J.C.B. CARVALHO ◽  
Gustavo C. RODRIGUES ◽  
Ryuichi ISHII

1981 ◽  
Vol 8 (3) ◽  
pp. 347 ◽  
Author(s):  
MJ Fisher ◽  
DA Charles-Edwards ◽  
MM Ludlow

The response was measured of stomatal conductance and leaf photosynthesis to changing leaf water potential in the legume siratro subjected to a sequence of I-week cycles of increasing soil water deficit followed by watering. The response of stomatal conductance was described using a continuous mathematical function, which is more robust and accurate than the usual discontinuous linear function used to analyse such data. After seven successive cycles of water deficit, there was no apparent adjustment of the short-term response of leaf conductance to leaf water potential.


2020 ◽  
Vol 20 (1) ◽  
Author(s):  
Sen Lin ◽  
Cesar Augusto Medina ◽  
Bill Boge ◽  
Jinguo Hu ◽  
Steven Fransen ◽  
...  

2019 ◽  
Author(s):  
Long-Xi Yu ◽  
Bill Boge ◽  
Jinguo Hu ◽  
Steven Fransen ◽  
Steven Norberg

AbstractPlant phenotypic plasticity is the ability of plants to express different phenotypes in response to environmental variations. Genetic bases by which phenotypic plasticity affects plant adaptation to environmental change remain largely unknown. In the present study, we characterized 26 forage quality traits in a panel of alfalfa 198 accessions in a field trial under water deficit gradient. The regression analysis revealed that the values of fiber-related traits decreased, while those among energy-related traits increased, as water deficit increased. Genetic loci for forage quality traits were investigated by Genome-wide association studies (GWAS) under different levels of water deficit. Genetic loci associated with forage quality traits were identified and compared. Similar regions were found between energy-related traits when grand means were used for GWAS. Most of the associated markers were identified under water deficit, suggesting genetic mechanisms for forage quality traits were differ between well-watered and water stressed plants. Although GWAS on forage quality have been reported, we are the first to address the genetic factors for forage quality traits under water deficit in autotetraploid alfalfa. The information gained from the present study will be useful for the genetic improvement of alfalfa with enhanced drought/salt tolerance while maintaining forage quality.


2014 ◽  
Vol 1 (1) ◽  
pp. 20-24
Author(s):  
Gader Ghaffari ◽  
Farhad Baghbani ◽  
Behnam Tahmasebpour

In order to group winter rapeseed cultivars according to evaluated traits, an experiment was conducted in the Research Greenhouse of Agriculture Faculty, University of Tabriz - IRAN. In the experiment were included 12 cultivars of winter rapeseed and 3 levels of water deficit stress. Gypsum blocks were used to monitor soil moisture. Water deficit stress was imposed from stem elongation to physiological maturity. According to the principal component analysis, five principal components were chosen with greater eigenvalue (more than 0.7) that are including 81.34% of the primeval variance of variables. The first component that explained the 48.02% of total variance had the high eigenvalue. The second component could justify about 13.64% of total variance and had positive association with leaf water potential and proline content and had negative relationship with leaf stomatal conductivity. The third, fourth and fifth components expressed around, 10.18, 4.83 and 4.68% of the total variance respectively. The third component had the high eigenvalue for plant dry weight. The fourth component put 1000-seed weight, seed yield, Silique per Plant and root dry weight against plant dry weight, chlorophyll fluorescence and leaf water potential. The fifth component had the high eigenvalue for root dry weight, root volume and 1000-seed weight.


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