asreml-r software (versions 3 and 4 (vsn international)
90
Structured Review
vsn international
asreml-r software (versions 3 and 4
Asreml R Software (Versions 3 And 4, supplied by vsn international, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/asreml+version+3/asreml/bio_rxiv__2020__12__16__423128-106-11-17
Average 90 stars, based on 1 article reviews
Asreml R Software (Versions 3 And 4, supplied by vsn international, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/asreml+version+3/asreml/bio_rxiv__2020__12__16__423128-106-11-17
Average 90 stars, based on 1 article reviews
asreml-r software (versions 3 and 4 - by Bioz Stars,
2026-09
90/100 stars
Images
Related Articles
Control:Article Title: Nonautosomal genetic variation in carotenoid coloration. Article Snippet: All analyses were conducted in Article Title: Velocity of temperature and flowering time in wheat - assisting breeders to keep pace with climate change. Article Snippet: By accelerating crop development, warming climates may result in mismatches between key sensitive growth stages and extreme climate events, with severe consequences for crop yield and food security.. Using recent estimates of gene responses to vernalization and photoperiod in wheat, we modelled the flowering times of all ‘potential’ genotypes as influenced by the velocity of climate change across the Australian wheatbelt.. In the period 1957–2010, seasonal increases in temperature of 0.012 °C yr 1 were recorded and changed flowering time of a mid-season wheat genotype by an average 0.074 day yr , with flowering ‘velocity’ of up to 0.95 km yr 1 towards the coastal edges of the wheatbelt; this is an estimate of how quickly the given genotype would have to be ‘moved’ across the landscape to maintain its original flowering time. Article Title: Quantification of the effects of VRN1 and Ppd-D1 to predict spring wheat ( Triticum aestivum ) heading time across diverse environments Article Snippet: Using the observed calibration data from the 2 years of trials at South Perth, the effects of the VRN1 and Ppd-D1 genes were estimated using the Standard Deviation:Article Title: Nonautosomal genetic variation in carotenoid coloration. Article Snippet: All analyses were conducted in Article Title: Velocity of temperature and flowering time in wheat - assisting breeders to keep pace with climate change. Article Snippet: By accelerating crop development, warming climates may result in mismatches between key sensitive growth stages and extreme climate events, with severe consequences for crop yield and food security.. Using recent estimates of gene responses to vernalization and photoperiod in wheat, we modelled the flowering times of all ‘potential’ genotypes as influenced by the velocity of climate change across the Australian wheatbelt.. In the period 1957–2010, seasonal increases in temperature of 0.012 °C yr 1 were recorded and changed flowering time of a mid-season wheat genotype by an average 0.074 day yr , with flowering ‘velocity’ of up to 0.95 km yr 1 towards the coastal edges of the wheatbelt; this is an estimate of how quickly the given genotype would have to be ‘moved’ across the landscape to maintain its original flowering time. Article Title: Quantification of the effects of VRN1 and Ppd-D1 to predict spring wheat ( Triticum aestivum ) heading time across diverse environments Article Snippet: Using the observed calibration data from the 2 years of trials at South Perth, the effects of the VRN1 and Ppd-D1 genes were estimated using the |