Inherent trait differences explain wheat cultivar responses to climate factor interactions: New insights for more robust crop modelling

2020 ◽  
Vol 26 (10) ◽  
pp. 5965-5978
Author(s):  
Franziska Eller ◽  
Benita Hyldgaard ◽  
Steven M. Driever ◽  
Carl‐Otto Ottosen
Keyword(s):  
Wheat Cultivar ◽  
Climate Factor ◽  
Crop Modelling ◽  
Cultivar Responses ◽  
Factor Interactions

Hard Red Winter Wheat Cultivar Responses to a pH and Aluminum Concentration Gradient

2007 ◽  
Vol 99 (1) ◽  
pp. 88-98 ◽  
Author(s):  
S. K. Kariuki ◽  
H. Zhang ◽  
J. L. Schroder ◽  
J. Edwards ◽  
M. Payton ◽  
...  
Keyword(s):  
Winter Wheat ◽  
Concentration Gradient ◽  
Wheat Cultivar ◽  
Aluminum Concentration ◽  
Winter Wheat Cultivar ◽  
Hard Red Winter Wheat ◽  
Cultivar Responses ◽  
Red Winter Wheat

Fusarium Head Blight in Hard Red Spring Wheat: Cultivar Responses to Natural Epidemics

1996 ◽  
Vol 88 (2) ◽  
pp. 223-230 ◽  
Author(s):  
John V. Wiersma ◽  
Eugene L. Peters ◽  
Mark A. Hanson ◽  
Robert J. Bouvette ◽  
Robert H. Busch
Keyword(s):  
Fusarium Head Blight ◽  
Spring Wheat ◽  
Wheat Cultivar ◽  
Head Blight ◽  
Hard Red Spring Wheat ◽  
Cultivar Responses ◽  
Spring Wheat Cultivar

Kernel mass and assimilate accumulation of wheat: cultivar responses to 50% spikelet removal at anthesis

1995 ◽  
Vol 42 (2-3) ◽  
pp. 93-99 ◽  
Author(s):  
Yong-Zhan Ma ◽  
Charles T. MacKown ◽  
David A. Van Sanford
Keyword(s):  
Wheat Cultivar ◽  
Cultivar Responses

Forms, Importance, and Ineffability of Factor Interactions to Define Personality Disorders: Comment on Lilienfeld et al. (2019)

2019 ◽  
Author(s):  
Stephen D Benning ◽  
Edward Smith
Keyword(s):  
Personality Disorders ◽  
False Positive Rate ◽  
Empirical Work ◽  
Design Studies ◽  
Linear Threshold ◽  
Positive Rate ◽  
Saturation Effects ◽  
Factor Interactions ◽  
Main Effects ◽  
Criterion Variables

The emergent interpersonal syndrome (EIS) approach conceptualizes personality disorders as the interaction among their constituent traits to predict important criterion variables. We detail the difficulties we have experienced finding such interactive predictors in our empirical work on psychopathy, even when using uncorrelated traits that maximize power. Rather than explaining a large absolute proportion of variance in interpersonal outcomes, EIS interactions might explain small amounts of variance relative to the main effects of each trait. Indeed, these interactions may necessitate samples of almost 1,000 observations for 80% power and a false positive rate of .05. EIS models must describe which specific traits’ interactions constitute a particular EIS, as effect sizes appear to diminish as higher-order trait interactions are analyzed. Considering whether EIS interactions are ordinal with non-crossing slopes, disordinal with crossing slopes, or entail non-linear threshold or saturation effects may help researchers design studies, sampling strategies, and analyses to model their expected effects efficiently.

Transfer of leaf and stripe rust resistance genes Lr19 and Yr15 in to a susceptible wheat cultivar HS295

2019 ◽  
Vol 79 (3) ◽  
Author(s):  
Pratima Sharma ◽  
Madhu Patial ◽  
Dharam Pal ◽  
S. C. Bhardwaj ◽  
Subodh . Kumar ◽  
...  
Keyword(s):  
Rust Resistance ◽  
Ssr Marker ◽  
Scar Marker ◽  
Adult Plant Resistance ◽  
Wheat Cultivar ◽  
Stripe Rust Resistance ◽  
Adult Plant ◽  
Potential Donor ◽  
Seedling Resistance ◽  
Breeding Lines

The present study was conducted to transfer multiple rust resistance in a popular but rust susceptible wheat cultivar HS295. Selected derivatives WBM3632 and WBM3635 have been developed from a cross, HS295*2/FLW20//HS295*2/ FLW13 using bulk-pedigree method of breeding. Advance line WBM3697 selected from a breeding line WBM3532 was named as HS661. This line was evaluated for seedling resistance to a wide array of rust pathotypes and found to possess resistance to all the three rusts. HS661 was also tested under field conditions and showed adult plant resistance to leaf rust (AC1=0.6), stem rust (ACI=2.7) and strpe rust (AC1=3.8). Among 34 F3 lines, 28 were tested positive for SSR marker Xwmc221 indicating the presence of Lr19/Sr25. Out of 14 selected F4 lines from F3, nine were homozygous positive for Lr19/Sr25. The advanced breeding lines viz., WBM3632 (WBM3697) and WBM3635 were also positive for Lr19/Sr25 with SCAR marker SCS265512. SSR marker Xgwm1 producing 215 bp band in Avst-15, FLW13 and HS661 confirmed the presence of Yr15 . Agronomically, HS661 was comparable with recipient variety HS295 and superior to a standard check HS490 under late sown restricted irrigation production conditions of NHZ. HS661 may serve as a potential donor for creating new usable variability against all the three rusts.

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