Article
Chemistry, Applied
Lovemore Nkhata Malunga, Nancy Ames, Jennifer Mitchell Fetch, Thomas Netticadan, Sijo Joseph Thandapilly
Summary: This study evaluated the effect of genotype, environment, and their interaction on the concentration of phenolic compounds in Canadian oat. The results showed that the environment had a significant effect on the concentration of all phenolic compounds, while the genotype had a significant effect only on AVNs A and B.
Article
Plant Sciences
Francisco J. Canales, Gracia Montilla-Bascon, Luis M. Gallego-Sanchez, Fernando Flores, Nicolas Rispail, Elena Prats
Summary: Oats, an important crop traditionally grown in cool-temperate regions, have seen a steady increase in cultivated area in the Mediterranean rim in the last 20 years due to their good adaptation to a wide range of soils. However, it was found that Mediterranean landraces outperformed northern bred elite cultivars in terms of yield under Mediterranean conditions. Different landraces showed varying patterns of adaptation to Mediterranean agroclimatic conditions, with higher yielding ones adapting to specific rainfall and temperature conditions.
FRONTIERS IN PLANT SCIENCE
(2021)
Article
Plant Sciences
Cleo A. A. Doettinger, Volker Hahn, Willmar L. L. Leiser, Tobias Wuerschum
Summary: In this study, 50 soybean genotypes were evaluated for their adaptation and trait stability across seven locations in Germany. It was found that soybean can be grown at a wide range of latitudes in Germany, with higher yields in the southern regions compared to the northern regions. Selecting genotypes suited for the northern German environments could improve soybean breeding for higher latitude regions.
Article
Plant Sciences
Ashok K. Parihar, Sanjeev Gupta, Kali K. Hazra, Amrit Lamichaney, Debjyoti Sen Gupta, Deepak Singh, Raju Kumar, Anil K. Singh, Rakesh Vaishnavi, M. Samuel Jaberson, Sankar P. Das, Jai Dev, Rajesh K. Yadav, B. S. Jamwal, B. R. Choudhary, O. P. Khedar, Vijay Prakash, Harsh K. Dikshit, R. K. Panwar, Manoj Katiyar, Pankaj Kumar, C. S. Mahto, H. K. Borah, M. N. Singh, Arpita Das, A. N. Patil, H. C. Nanda, Vinod Kumar, Sumer D. Rajput, D. A. Chauhan, M. H. Patel, Raja R. Kanwar, Jitendra Kumar, S. P. Mishra, Hitesh Kumar, Indu Swarup, Suma Mogali, D. Kumaresan, Narayana Manivannan, M. Byre Gowda, Muthaiyan Pandiyan, Polneni J. Rao, D. Shivani, A. M. Prusti, P. Mahadevu, K. Iyanar, Sujata Das
Summary: Crop yield varies significantly depending on agroecology and genetic potential. This study investigates the impact of environmental conditions on mungbean yield and phenological dynamics in different agroecological regions of India. Results show that environmental factors such as rainfall and relative humidity have a considerable influence on crop yield.
FRONTIERS IN PLANT SCIENCE
(2022)
Article
Agronomy
Shaun M. Sharpe, Taylor Kaye, Breanne D. Tidemann
Summary: Wild oat poses a significant threat to crop production in the Canadian Prairies. This study evaluated the effects of potassium nitrate and pyroligneous acid on the germination and emergence of wild oat and other crop species. The results showed that pyroligneous acid promoted wild oat emergence, while inhibiting the emergence of oat, barley, and wheat. Pyroligneous acid may be effective in controlling wild oat infestations.
CANADIAN JOURNAL OF PLANT SCIENCE
(2023)
Article
Agronomy
Weikai Yan, Mehri Hadinezhad, Brad Dehaan, Matt Hayes, Savka Orozovic, Kirby T. Nilsen, Dan MacEachern, Genevieve Telmosse, Aaron Beattie, Helen Booker, Holly Byker, Allan Cummiskey, Isabelle Morasse, Nathan Mountain, Melinda Drummond, Zhanghan Zhang, Michael Holzworth, Julie Durand, Yuanhong Chen
Summary: This article presents a graphical method to visually analyze the trait-yield association patterns based on data from multi-location, multi-year crop variety trials. The analysis was exemplified using oat data from trials conducted across Canada. The results revealed three oat mega-environments in Canada, each with unique trait-yield association patterns. This information can be used to guide visual selection and genotypic selection.
Article
Agronomy
Nikolaos Katsenios, Panagiotis Sparangis, Sofia Chanioti, Marianna Giannoglou, Dimitris Leonidakis, Miltiadis V. Christopoulos, George Katsaros, Aspasia Efthimiadou
Summary: The study found that specific environments have a significant impact on maize yield, protein, and fiber content, and using appropriate genotypes under certain conditions can improve both yield and quality characteristics.
Article
Agronomy
Breanne D. Tidemann, K. Neil Harker, Hugh J. Beckie, Hiroshi Kubota, Jennifer Zuidhof, Patty Reid
Summary: This study evaluated the efficacy of a physical impact mill as an alternative weed management strategy in western Canada. The results showed inconclusive evidence for its effectiveness on different weed species under field conditions, but provided important considerations for future research.
CANADIAN JOURNAL OF PLANT SCIENCE
(2023)
Article
Agronomy
Noureddine El Haddad, Miguel Sanchez-Garcia, Andrea Visioni, Abderrazek Jilal, Rola El Amil, Amadou Tidiane Sall, Wasihun Lagesse, Shiv Kumar, Filippo M. Bassi
Summary: Crop wild relatives (CWR) are a valuable source of alleles for climate change adaptation. Testing 19 durum wheat, 24 barley, and 24 lentil elites incorporating CWR showed significant G, E, and GxE effects. Selecting six CWR-derived elites for each crop matching or superior to the best check, with climate factors influencing grain yield and defining mega-environments. Germplasm assessment for food transformation characteristics showed superior performance in several traits, supporting the use of CWR in breeding programs for adaptation and value addition.
Article
Agriculture, Dairy & Animal Science
Francesco Tiezzi, Allison Fleming, Francesca Malchiodi
Summary: This study proposes a method to incorporate milk infrared spectral data into genomic prediction models, improving the accuracy of predicting new genotypes under new environmental conditions. The integration of genomic and phenomic data is shown to be important, especially for traits with poor predictability at the phenotypic level.
Article
Genetics & Heredity
Caio Canella Vieira, Reyna Persa, Pengyin Chen, Diego Jarquin
Summary: This research investigates the potential of incorporating soil texture information and its interaction with molecular markers to enhance the predictive ability in plant breeding programs. The study suggests that adding soil texture information and GxS interaction can decrease the variability captured by the environment and residual terms, and outperforms other models. Therefore, obtaining soil texture information before the growing season can optimize the efficiency of a breeding program.
FRONTIERS IN GENETICS
(2022)
Article
Agronomy
Diego Pereira do Couto, Wagner Bastos dos Santos Oliveira, Jessika Santos de Oliveira, Jose Henrique Soler Guilhen, Carolina de Oliveira Bernardes, Sheila Cristina Prucoli Posse, Marcia Flores da Silva Ferreira, Adesio Ferreira
Summary: Thirteen maize varieties were evaluated in nine environments to study their adaptability and stability, and explore their variability through genetic resources. The variety Alianca showed broad adaptability, while environments 5, 6, 7, and 9 were classified as unfavorable. The varieties Alfredo Chaves, Catete, and Catetim displayed good stability indexes.
Article
Agriculture, Multidisciplinary
Julio Daronco Berlezi, Ivan Ricardo Carvalho, Jose Antonio Gonzalez da Silva, Murilo Vieira Loro, Inae Carolina Sfalcin, Leonardo Cesar Pradebon, Eduarda Donadel Port, Rafael Soares Ourique, Joao Pedro Dalla Roza
Summary: The objective of this study was to select white oat genotypes suitable for environments with and without fungicide application, and to identify relationships between meteorological variables and agronomic traits. Two experiments were conducted, one without fungicide and one with tebuconazole fungicide. 'URS Corona' was identified as an ideal genotype for the fungicide environment, while 'Brisasul', 'IPR Aphrodite', and 'URS Taura' genotypes performed better without fungicide. Genotypes with rust incidence lower than 15% and height higher than 93 cm in an environment with relative humidity lower than 70.75% had higher grain yield regardless of fungicide use. Greater air temperature and solar radiation resulted in higher grain yield for white oat, regardless of fungicide use.
PESQUISA AGROPECUARIA BRASILEIRA
(2023)
Article
Agronomy
Hapson Mushoriwa, Isack Mathew, Eastonce T. Gwata, Pangirayi Tongoona, John Derera
Summary: This study investigated the genotype x environment interaction and stability of soybean genotypes of different ages in southern Africa using AMMI analysis and genotype superiority index tools. The results showed that multi-environmental trials are important for genotype selection and breeding progress in the region, and the top four high-yielding stable genotypes have a high genotype superiority index.
Article
Agronomy
Saulo Fabricio da Silva Chaves, Rafael Moyses Alves, Rodrigo Silva Alves, Alexandre Magno Sebbenn, Marcos Deon Vilela de Resende, Luiz Antonio dos Santos Dias
Summary: This study aimed to estimate the optimum number of harvests for genetic selection of Theobroma grandiflorum progenies and identify the most promising ones in terms of productivity, stability, and adaptability. The results show that accurate genetic selection aiming at recombination and recommendation is effective after three and eleven harvests, respectively. Six progenies were selected that met the requirements for productivity, stability, and adaptability to different cultivation environments, providing a foundation for optimizing and advancing breeding programs for the species.
Article
Agriculture, Multidisciplinary
Pu-Fang Li, Bao-Luo Ma, Weikai Yan, Zheng-Guo Cheng, Feng-Min Li, You-Cai Xiong
JOURNAL OF THE SCIENCE OF FOOD AND AGRICULTURE
(2016)
Editorial Material
Agronomy
W. Yan, J. Fregeau-Reid, R. Martin, D. Pageau, A. Xue, K. Jakubinek, B. deHaan, S. Thomas, M. Hayes, A. Cummiskey
CANADIAN JOURNAL OF PLANT SCIENCE
(2017)
Editorial Material
Agronomy
Weikai Yan, Judith Fregeau-Reid, Richard Martin, Denis Pageau, Allen Xue, Klaus Jakubinek, Brad deHaan, Steve Thomas, Matt Hayes, Dorothy Sibbit, Allan Cummiskey
CANADIAN JOURNAL OF PLANT SCIENCE
(2017)
Article
Agronomy
Weikai Yan, J. Fregeau-Reid, Denis Pageau, Richard Martin
Article
Soil Science
B. L. Ma, Z. Zheng, D. Pageau, C. Vera, J. Fregeau-Reid, A. Xue, W. Yan
NUTRIENT CYCLING IN AGROECOSYSTEMS
(2017)
Article
Agriculture, Multidisciplinary
Philippe Rochette, Chang Liang, David Pelster, Onil Bergeron, Reynald Lemke, Roland Kroebel, Douglas MacDonald, Weikai Yan, Corey Flemming
AGRICULTURE ECOSYSTEMS & ENVIRONMENT
(2018)
Article
Multidisciplinary Sciences
Weikai Yan, Judith Fregeau-Reid
SCIENTIFIC REPORTS
(2018)
Article
Multidisciplinary Sciences
Naiyin Xu, Michel Fok, Jian Li, Xiaoni Yang, Weikai Yan
SCIENTIFIC REPORTS
(2017)
Article
Multidisciplinary Sciences
Weikai Yan
SCIENTIFIC REPORTS
(2019)
Article
Agronomy
Weikai Yan, Jennifer Mitchell-Fetch, Aaron Beattie, Kirby T. Nilsen, Denis Pageau, Brad DeHaan, Matthew Hayes, Nathan Mountain, Allan Cummiskey, Dan MacEachern
Summary: This study used LG biplot analysis to evaluate multiyear oat variety trials in Canada, identifying three mega-environments based on geographic regions and showing latitude as the main differentiating factor. The results suggest that oat variety trials and recommendations should be conducted based on mega-environments rather than administrative regions.
Review
Agronomy
Yan Weikai, Kirby T. Nilsen, Aaron Beattie
Summary: Mega-environment (ME) analysis is a method to understand the interaction between genotype and environment of a crop in a target region by analyzing multi-year, multi-location crop variety trial data. If repeatable patterns of genotype-by-environment interaction are found, the target region should be divided into subregions or MEs for breeding and utilizing ME-specific cultivars. This paper presents a theoretical framework of ME analysis, describes graphical tools for revealing genotype-by-environment patterns, and demonstrates the application of ME analysis in breeding ME-specific oat cultivars in Canada.
Article
Agronomy
Wei Guo, Yuanhong Chen, Yasamin Al-Rewashdy, Nicholas Foran, Bao-luo Ma, Weikai Yan, Judith Fregeau-Reid, Jinghui Liu, Changzhong Ren, Denis Pageau, Cecil Vera, Allen G. Xue
CANADIAN JOURNAL OF PLANT SCIENCE
(2018)
Article
Agronomy
Weikai Yan, Judith Fregeau-Reid, Bao-Luo Ma, Denis Pageau, Cecil Vera
Article
Agronomy
W. Yan, A. McElroy, J. Fregeau-Reid, A. Xue, K. Jakubinek, B. deHaan, S. Thomas, D. Sibbit
CANADIAN JOURNAL OF PLANT SCIENCE
(2017)
Article
Agronomy
Weikai Yan, Denis Pageau, Richard Martin, Allan Cummiskey, Barbara Blackwell