bioRxiv Science⌕ Search

Biology subjects

Rocha, D. J. A.

Publications and source records attributed to Rocha, D. J. A..

2 recordsLinked to original sources

Genomic selection for herbage yield in forage oats (Avena sp.)

The study investigated the potential of genomic selection (GS) to accelerate genetic improvement in forage oats (Avena sp.) by predicting herbage yield. The results showed that GS can be an effective tool for predicting herbage yield in forage oats, with prediction accuracies ranging from 0.91 to 0.97. The use of SNP markers for GS in forage oats has several advantages over traditional marker-assisted selection (MAS), including the ability to capture more of the genetic variation for the trait of interest. The accuracy of GS predictions can be further improved by using trait-specific relationship matrices (TGRMs) and genomic information from multiple generations. Key FindingsO_LIGS can be an effective tool for predicting herbage yield in forage oats, with prediction accuracies ranging from 0.91 to 0.97. C_LIO_LIThe use of SNP markers for GS in forage oats has several advantages over traditional MAS, including the ability to capture more of the genetic variation for the trait of interest. C_LIO_LIThe accuracy of GS predictions can be further improved by using TGRMs and genomic information from multiple generations. C_LI ImplicationsO_LIGS can be used to accelerate the development of new forage oat varieties with improved herbage yield. C_LIO_LIGS has the potential to significantly improve the agronomic performance and quality of forage oat varieties. C_LI Future ResearchO_LIDevelop a more structured training population to improve the accuracy of GS predictions. C_LIO_LIIdentify trait-specific relationship matrices (TGRMs) to further improve the accuracy of GS predictions. C_LIO_LIInvestigate the use of genomic information from multiple generations to improve the accuracy of GS predictions. C_LI

genetics↗

SCS313 Serrano, a big trefoil selected for flowering ability and seed production

SCS313 Serrano is a tetraploid cultivar of Lotus uliginosus developed by the Research and Rural Extension Company of Santa Catarina, Brazil, to improve flowering ability and seed production in low-latitude regions. SCS313 Serrano was developed from the selection of individual plants of the cultivar Grasslands Maku. Seeds from the initial breeding population was bulked and used to establish a field trial with spaced plants. The plants were selected and classified as late or early, regarding the beginning of flowering, through visual evaluations based on the time for the beginning of flowering. Selected plants were transplanted to crossing blocks and seed harvested on individual plants; a progeny test was conducted, with four replications, through the establishment of approximately 100 genotypes in a field. This process was repeated for three consecutive cycles of recurrent selection. Considering the mean time for the beginning of flowering and vigor performance, the best five genotypes were selected as parental lines for the synthetic cultivar SCS313 Serrano. A morphological difference between SCS313 Serrano and Grasslands Maku is that SCS313 Serrano has absence of hairs in stems whereas Grasslands Maku has a medium stem hair density. In addition, SCS313 Serrano exhibits profuse flowering ability while Grasslands Maku exhibits very sparse seedhead formation. SCS313 Serrano exhibited good persistence under wet conditions and similar forage yields compared to other lotus commercial cultivars. Thus, SCS313 Serrano is recommended to be used as pasture in mixtures with grass in livestock systems, mainly on wet soils.

plant biology↗