ORCID Profile
0000-0002-4306-1546
Current Organisations
INIA
,
Deakin University
Does something not look right? The information on this page has been harvested from data sources that may not be up to date. We continue to work with information providers to improve coverage and quality. To report an issue, use the Feedback Form.
Publisher: Wiley
Date: 03-10-2014
Publisher: Elsevier BV
Date: 08-2019
Publisher: Elsevier BV
Date: 12-2019
Publisher: Serie Tecnica INIA
Date: 08-2019
DOI: 10.35676/INIA/ST.250
Publisher: Elsevier BV
Date: 02-2022
DOI: 10.1016/J.CHEMOSPHERE.2021.132426
Abstract: Characterization of the country internal variability of arsenic (As) accumulation in rice grain across different rice production regions is very important in order to analyze its compliance with international and regional limits. A robust s ling study scheme (n = 150 s les) was performed to determine total arsenic (tAs) and inorganic (iAs) levels from polished rice grain covering all rice producing regions along two growing seasons. The mean and median concentration of tAs were 0.178 mg kg-1 and 0.147 mg kg-
Publisher: Elsevier BV
Date: 06-2022
DOI: 10.1016/J.CHEMOSPHERE.2022.134085
Abstract: This research sought to minimize inorganic arsenic levels in polished rice grain by using different irrigation and phosphorous fertilization practices while also maintaining crop yield and water productivity. Two experiments were conducted during seasons 2018-2019 and 2019-2020 using a split-plot design with three blocks, five irrigation treatments (main-plots) and two phosphorous levels (sub-plots). Irrigation treatments consisted of a traditional continuous flood (CF) control and four alternatives irrigation techniques with one or two drying events during the irrigation cycle. The phosphorous fertilization levels investigated were an unfertilized control (0 kg P
Publisher: Research Square Platform LLC
Date: 07-05-2021
DOI: 10.21203/RS.3.RS-401904/V1
Abstract: Future rice systems will need to produce more grain while minimizing the environmental impact. A key question is how to orient agricultural research & development (R& D) programs at national to global scales to maximize the return on investment. Here we assess yield gap and resource-use efficiency (including water, pesticides, nitrogen, labor, and energy) across 32 rice cropping systems, together accounting for 88% of global rice production. We show that achieving high yields and high resource-use efficiencies are not conflicting goals. Most cropping systems have room for increasing yield, resource-use efficiency, or both. In aggregate, current total rice production of these systems can be increased by 36%, and excess nitrogen almost eliminated, by focusing on a relatively small number of cropping systems with large yield gaps and/or poor resource-use efficiencies. This study provides essential strategic insight for prioritizing national and global agricultural R& D investments to ensure adequate rice supply while minimizing negative environmental impact in coming decades.
Publisher: Serie Tecnica INIA
Date: 06-2019
DOI: 10.35676/INIA/ST.233
Publisher: Springer Science and Business Media LLC
Date: 09-12-2021
DOI: 10.1038/S41467-021-27424-Z
Abstract: Future rice systems must produce more grain while minimizing the negative environmental impacts. A key question is how to orient agricultural research & development (R& D) programs at national to global scales to maximize the return on investment. Here we assess yield gap and resource-use efficiency (including water, pesticides, nitrogen, labor, energy, and associated global warming potential) across 32 rice cropping systems covering half of global rice harvested area. We show that achieving high yields and high resource-use efficiencies are not conflicting goals. Most cropping systems have room for increasing yield, resource-use efficiency, or both. In aggregate, current total rice production could be increased by 32%, and excess nitrogen almost eliminated, by focusing on a relatively small number of cropping systems with either large yield gaps or poor resource-use efficiencies. This study provides essential strategic insight on yield gap and resource-use efficiency for prioritizing national and global agricultural R& D investments to ensure adequate rice supply while minimizing negative environmental impact in coming decades.
Publisher: Elsevier BV
Date: 03-2023
Publisher: Wiley
Date: 21-04-2023
DOI: 10.1002/CSC2.20955
Abstract: Breeding programs generate vast amount of data which are often scattered in separate files. This hinders the application of modern breeding tools such as multi‐environment analyses and genomic selection. This research work describes the process of consolidating 23 years of phenotypic, pedigree, and genomic records from the Uruguayan national rice ( Oryza sativa L.) breeding program, and the features and structure of the resulting database. Using a custom‐made R code, we gathered all the available data from 1997 to 2020 corresponding to field trials, blast disease evaluation nurseries, laboratory analyses of milling and cooking quality, pedigree information, and genomic information for selected advanced breeding lines, and organized it into a relational database. Records of 996 trials in 12 locations over a span of 23 years, 91,636 field plots with information on 14 phenotypic variables, pedigree for 19,447 genotypes, and genomic information regarding 61,260 single nucleotide polymorphism (SNP) markers for 965 genotypes were recovered. The dataset is structured in trials, phenotypes, lines, genomic information, and SNP tables in an easy‐to‐access relational database, which will be a valuable resource for rice breeding.
No related grants have been discovered for Gonzalo Carracelas.