Article
Plant Sciences
Vasileios Greveniotis, Elisavet Bouloumpasi, Stylianos Zotis, Athanasios Korkovelos, Dimitrios Kantas, Constantinos G. Ipsilandis
Summary: This study assessed the relationship between multiple locations and genotypes, analyzed the adaptability and stability of faba beans, and proposed the most ideal cultivation conditions and genotypes. The results showed that crude protein content, plant height, and thousand-seed weight were positively correlated with seed yield, while other qualitative variables were negatively correlated. Tanagra cultivar exhibited the highest seed yield under conventional management, and Ste1 and Ste2 showed promising genetic materials. Based on the results, Tanagra cultivar and Ste2 genotype are the most ideal choices.
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
Peter K. Wahinya, Gilbert M. Jeyaruban, Andrew A. Swan, Julius H. J. van der Werf
Summary: Genotype by environment interaction affects the effectiveness of dairy cattle breeding programs in developing countries. This study aimed to optimize breeding programs for dairy cattle in different environments within Kenya. Simulation results showed that breeding strategies involving progeny testing bulls within each production system and using both phenotypic and genomic information can maximize genetic responses. Additionally, a joint breeding program with bull testing in all three environments produced the highest response using phenotypes alone.
Article
Plant Sciences
Damiano Puglisi, Stefano Delbono, Andrea Visioni, Hakan Ozkan, Ibrahim Kara, Ana M. Casas, Ernesto Igartua, Giampiero Vale, Angela Roberta Lo Piero, Luigi Cattivelli, Alessandro Tondelli, Agostino Fricano
Summary: MAGIC lines have mosaic genomes generated by shuffling genetic material of founder parents, used for investigating genetic bases of traits in cereal crops. Genomic prediction models are usually fitted using unrelated accessions or individuals of biparental families. Empirical analyses showed that limited number of MAGIC lines can predict grain yield with values varying from 0.25 to 0.60, suggesting that the population can be used for training genomic prediction models.
FRONTIERS IN PLANT SCIENCE
(2021)
Article
Agronomy
Juan Ignacio Di Salvo, Chad Lee, Montse Salmeron
Summary: The selection of hybrid maturity in corn cultivation has varying effects on yield and yield stability in different regions, with recommendations for later maturities in Arkansas and Nebraska, while a different response curve was observed in Kentucky.
FIELD CROPS RESEARCH
(2021)
Article
Agricultural Engineering
B. Todd Campbell, Ramdeo Seepaul, Joseph E. Iboyi, William F. Anderson, Brian S. Baldwin, Rick Bennett, Carl R. Crozier, Sheeja George, Austin K. Hagan, Dewey Lee, Bisoondat Macoon, Daniel Mailhot, Jesse I. Morrison, Michael J. Mulvaney, Angela Post, Ian M. Small, David L. Wright
Summary: Extensive field evaluations were conducted across several locations in the southeastern US to assess the agronomic performance and stability of carinata genotypes. Results showed that carinata can produce viable grain yields in the region, but freezing temperatures pose a challenge to winter production. The southeastern US should be divided into three mega environments for future breeding efforts.
INDUSTRIAL CROPS AND PRODUCTS
(2023)
Article
Horticulture
Amparo Rosero, William Burgos-Paz, Hernando Araujo, Ivan Javier Pastrana-Vargas, Remberto Martinez, Jose-Luis Perez, Laura Espitia
Summary: Adapting to different environmental conditions is a challenge for breeders, who select genotypes with better performance to develop new varieties. This study used the CropInd tool to evaluate the agronomic performance of 19 sweet potato genotypes and selected the new variety 0113-672COR for the Colombian Caribbean region based on its multi-trait performance and stability. The use of multi-trait selection index, stability analysis, and genetic gain analysis assisted breeders in phenotypic selection.
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
Genetics & Heredity
Jyoti Devi, Gyan P. Mishra, Vidya Sagar, Vineet Kaswan, Rakesh K. Dubey, Prabhakar M. Singh, Shyam K. Sharma, Tusar K. Behera
Summary: Globally, powdery mildew (PM) caused by Erysiphe pisi is a major disease of peas, with three resistant genes identified so far, er1 being the most widely deployed. Allelic variations of the er gene and linked DNA markers have provided breeders with effective tools for developing PM-resistant pea cultivars through marker-assisted selection. Exploiting this information will be crucial for future targeted PM resistance breeding in Pisum.
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
Plant Sciences
Margherita Crosta, Nelson Nazzicari, Barbara Ferrari, Luciano Pecetti, Luigi Russi, Massimo Romani, Giovanni Cabassi, Daniele Cavalli, Adriano Marocco, Paolo Annicchiarico
Summary: Wider pea cultivation in Europe is of great interest due to its environmental impact and high-protein feedstuff. This study investigated the interaction between genotype and environment, the genetic control, and the efficiency of genomic selection in improving protein content and grain yield of pea. The results showed that protein content is easier to improve and genomic selection can be used to simultaneously improve both protein content and grain yield.
FRONTIERS IN PLANT SCIENCE
(2022)
Article
Agricultural Engineering
R. K. Lal, C. S. Chanotiya, V. R. Singh, A. Kumar
Summary: Patchouli essential oil is an excellent fixative for strong perfumes, adding strength, character, seductive notes, and enduring properties. Its cultivation and production can provide crucial information about growth patterns and compatibility with different environmental conditions. Patchouli is gaining popularity due to its simplicity in cultivation, especially in shady orchards or forests. The study identified stable patchouli lines with high essential oil yields and distinctive aromas.
INDUSTRIAL CROPS AND PRODUCTS
(2023)
Article
Plant Sciences
Cai-jun Wu, Jie Wang, Jun Zhu, Jing Ren, You-xin Yang, Tao Luo, Lu-xi Xu, Qing-hong Zhou, Xu-feng Xiao, Yu-xin Zhou, Sha Luo
Summary: This study investigated two CHLI genes in pea and found that PsCHLI1 is the key subunit for Mg-chelatase activity. The peptide fragments of PsCHLI1 are essential for maintaining the activity of Mg-chelatase, which could be manipulated to improve photosynthetic efficiency.
FRONTIERS IN PLANT SCIENCE
(2022)
Article
Genetics & Heredity
Osval A. Montesinos-Lopez, Leonardo Crespo-Herrera, Carolina Saint Pierre, Alison R. Bentley, Roberto de la Rosa-santamaria, Jose Alejandro Ascencio-Laguna, Afolabi Agbona, Guillermo S. Gerard, Abelardo Montesinos-Lopez, Jose Crossa
Summary: This study investigates the integration of environmental information with genotypic information in genomic selection (GS) and proposes the use of feature selection methods for this purpose. Results show that the optimal incorporation of environmental covariates using feature selection significantly improves prediction accuracy in most cases, providing empirical evidence for the use of feature selection in GS to enhance prediction power.
FRONTIERS IN GENETICS
(2023)
Article
Agronomy
Leonardo Volpato, Joao Romero do Amaral Santos de Carvalho Rocha, Rodrigo Silva Alves, Willian Hytalo Ludke, Aluizio Borem, Felipe Lopes da Silva
Summary: The inclusion of population effect in the statistical model is important for genetic evaluation of soybean progenies. The FAI-BLUP index is effective in simultaneously selecting progenies with balanced, desirable genetic gains.
ACTA SCIENTIARUM-AGRONOMY
(2021)
Article
Agronomy
Cevat Eser, Suleyman Soylu, Hakan Ozkan
Summary: Drought is a pressing issue worldwide, and selecting wheat genotypes adapted to changing climatic conditions is crucial. This study evaluated 156 bread wheat genotypes, including landraces and modern varieties, under different drought treatments. The results showed that landraces had higher yield stability and protein content under drought stress, suggesting their potential for developing drought-tolerant modern wheat varieties. Effective utilization of landraces in breeding programs is important for developing climate-resilient wheat varieties.
FIELD CROPS RESEARCH
(2024)
Article
Agronomy
Jagdeep Singh, Audrey Gamble, Steve Brown, Todd B. Campbell, Johnie Jenkins, Jenny Koebernick, Paul C. Bartley III, Alvaro Sanz-Saez
Summary: This study evaluated the changes in nutrient uptake, nutrient use efficiency, and yield of 20 cotton cultivars released in the USA between 1953 and 2018. The results showed that modern cotton cultivars have increased total nutrient uptake but slower improvement in nutrient use efficiency. The findings highlight the potential for enhanced nutrient uptake traits in cotton.
FIELD CROPS RESEARCH
(2024)
Article
Agronomy
Elisa Erbetta, Laura Echarte, Maria Eugenia Sanz Smachetti, Nadia Gabbanelli, Maria Mercedes Echarte
Summary: This study investigated the effects of different combinations of photoperiod sensitivity, sweet-stalk, and bmr traits on sorghum biomass yield and allocation, and discussed the implications for bioenergy production.
FIELD CROPS RESEARCH
(2024)
Article
Agronomy
Wenqing Zuo, Baojian Wu, Yuxuan Wang, Shouzhen Xu, Minzhi Chen, Fubin Liang, Jingshan Tian, Wangfeng Zhang
Summary: This study assessed the impact of different row spacing configurations and irrigation amounts on cotton photosynthesis and fiber quality. The results showed that under adequate irrigation, RS76L could be a suitable replacement for RS66+10H to improve fiber quality.
FIELD CROPS RESEARCH
(2024)