scholarly journals Driving Sustainable Popcorn Breeding for Drought Tolerance in Brazil

2021 ◽  
Vol 12 ◽  
Author(s):  
Samuel Henrique Kamphorst ◽  
Antônio Teixeira do Amaral Junior ◽  
Valter Jário de Lima ◽  
Marcelo Javier Carena ◽  
Valdinei Cruz Azeredo ◽  
...  
Keyword(s):  
Climate Change ◽  
Water Stress ◽  
Agronomic Traits ◽  
Crop Productivity ◽  
Additive Effects ◽  
Good Opportunity ◽  
Water Condition ◽  
Diallel Mating Design ◽  
Superior Genotypes ◽  
Partial Diallel

Drought currently affects several regions worldwide and tends to be more frequent due to climate change. It might compromise food security and the economic structure related to agribusiness. Popcorn has a crucial role in the Brazilian economy, but the cultivars that adapt to water stress, the most prejudicial abiotic stress for crop productivity, are unknown to date. This deficit of popcorn varieties adapted to heat and drought stresses will become more limiting with climate change. Given this scenario, knowing the genetic basis of agronomic traits under stress conditions is essential in promoting crop productivity and plant adaptation to abiotic stresses. Under two contrasting water conditions (WC) and different crop seasons (CS), we aimed to generate information about the combining ability of 10 popcorn progenitors and 15 hybrids through a partial diallel-mating design. The water stress was initiated at the male pre-anthesis stage. Significant genotype*crop seasons (G*CS), genotype*water condition (G*WC), and genotype*crop seasons*water condition (G*CS*WC) interactions were present. Regardless of CS and WC, non-additive effects controlled grain yield (GY), grain number per row (GN), ear length and diameter (ED), and 100-grain weight, while additive effects were present for popping expansion (PE). For each CS, regardless of WC, the cause-effect of GN (2018) and ED (2020) on GY seems to be an opportunity for indirect selection. Utilizing genetically broad-based hybrids is also a good opportunity for obtaining superior genotypes for GY and PE as it is possible to select inbred lines for both of these traits. We recommend the L76 × L61 hybrid for the Brazilian agribusiness context due to its greater productivity and dominance deviations.

scholarly journals Tackling G × E × M interactions to close on-farm yield-gaps: creating novel pathways for crop improvement by predicting contributions of genetics and management to crop productivity

2021 ◽  
Author(s):  
Mark Cooper ◽  
Kai P. Voss-Fels ◽  
Carlos D. Messina ◽  
Tom Tang ◽  
Graeme L. Hammer
Keyword(s):  
Climate Change ◽  
Crop Improvement ◽  
Target Population ◽  
Crop Productivity ◽  
Climate Change Scenarios ◽  
Global Food Security ◽  
Genotype By Environment ◽  
Improvement Strategies ◽  
Yield Gaps ◽  
On Farm

Abstract Key message Climate change and Genotype-by-Environment-by-Management interactions together challenge our strategies for crop improvement. Research to advance prediction methods for breeding and agronomy is opening new opportunities to tackle these challenges and overcome on-farm crop productivity yield-gaps through design of responsive crop improvement strategies. Abstract Genotype-by-Environment-by-Management (G × E × M) interactions underpin many aspects of crop productivity. An important question for crop improvement is “How can breeders and agronomists effectively explore the diverse opportunities within the high dimensionality of the complex G × E × M factorial to achieve sustainable improvements in crop productivity?” Whenever G × E × M interactions make important contributions to attainment of crop productivity, we should consider how to design crop improvement strategies that can explore the potential space of G × E × M possibilities, reveal the interesting Genotype–Management (G–M) technology opportunities for the Target Population of Environments (TPE), and enable the practical exploitation of the associated improved levels of crop productivity under on-farm conditions. Climate change adds additional layers of complexity and uncertainty to this challenge, by introducing directional changes in the environmental dimension of the G × E × M factorial. These directional changes have the potential to create further conditional changes in the contributions of the genetic and management dimensions to future crop productivity. Therefore, in the presence of G × E × M interactions and climate change, the challenge for both breeders and agronomists is to co-design new G–M technologies for a non-stationary TPE. Understanding these conditional changes in crop productivity through the relevant sciences for each dimension, Genotype, Environment, and Management, creates opportunities to predict novel G–M technology combinations suitable to achieve sustainable crop productivity and global food security targets for the likely climate change scenarios. Here we consider critical foundations required for any prediction framework that aims to move us from the current unprepared state of describing G × E × M outcomes to a future responsive state equipped to predict the crop productivity consequences of G–M technology combinations for the range of environmental conditions expected for a complex, non-stationary TPE under the influences of climate change.

scholarly journals Impacts of Climate Change Interacting Abiotic Factors on Growth, aflD and aflR Gene Expression and Aflatoxin B1 Production by Aspergillus flavus Strains In Vitro and on Pistachio Nuts

Toxins ◽  
2021 ◽  
Vol 13 (6) ◽  
pp. 385
Author(s):  
Alaa Baazeem ◽  
Alicia Rodriguez ◽  
Angel Medina ◽  
Naresh Magan
Keyword(s):  
Climate Change ◽  
Gene Expression ◽  
Water Stress ◽  
Aspergillus Flavus ◽  
Aflatoxin B1 ◽  
Abiotic Factors ◽  
Pistachio Nuts ◽  
Significant Difference ◽  
Spoilage Fungi

Pistachio nuts are an important economic tree nut crop which is used directly or processed for many food-related activities. They can become colonized by mycotoxigenic spoilage fungi, especially Aspergillus flavus, mainly resulting in contamination with aflatoxins (AFs), especially aflatoxin B1 (AFB1). The prevailing climate in which these crops are grown changes as temperature and atmospheric CO2 levels increase, and episodes of extreme wet/dry cycles occur due to human industrial activity. The objectives of this study were to evaluate the effect of interacting Climate Change (CC)-related abiotic factors of temperature (35 vs. 37 °C), CO2 (400 vs. 1000 ppm), and water stress (0.98–0.93 water activity, aw) on (a) growth (b) aflD and aflR biosynthetic gene expression and (c) AFB1 production by two strains A. flavus (AB3, AB10) in vitro on milled pistachio-based media and when colonizing layers of shelled raw pistachio nuts. The A. flavus strains were resilient in terms of growth on pistachio-based media and the colonisation of pistachio nuts with no significant difference when exposed to the interacting three-way climate-related abiotic factors. However, in vitro studies showed that AFB1 production was significantly stimulated (p < 0.05), especially when exposed to 1000 ppm CO2 at 0.98–0.95 aw and 35 °C, and sometimes in the 37 °C treatment group at 0.98 aw. The relative expression of the structural aflD gene involved in AFB1 biosynthesis was decreased or only slightly increased, relative to the control conditions at elevated CO, regardless of the aw level examined. For the regulatory aflR gene expression, there was a significant (p < 0.05) increase in 1000 ppm CO2 and 37 °C for both strains, especially at 0.95 aw. The in situ colonization of pistachio nuts resulted in a significant (p < 0.05) stimulation of AFB1 production at 35 °C and 1000 ppm CO2 for both strains, especially at 0.98 aw. At 37 °C, AFB1 production was either decreased, in strain AB3, or remained similar, as in strain AB10, when exposed to 1000 ppm CO2. This suggests that CC factors may have a differential effect, depending on the interacting conditions of temperature, exposure to CO2 and the level of water stress on AFB1 production.

scholarly journals Identification of the Optimum Environments for the High Yield and Quality Traits of Lentil Genotypes Evaluated in Multi-Location Trials

2021 ◽  
Vol 13 (15) ◽  
pp. 8247
Author(s):  
Dimitrios N. Vlachostergios ◽  
Christos Noulas ◽  
Anastasia Kargiotidou ◽  
Dimitrios Baxevanos ◽  
Evangelia Tigka ◽  
...  
Keyword(s):  
Crude Protein ◽  
Agronomic Traits ◽  
High Yield ◽  
Breeding Programs ◽  
Growing Seasons ◽  
Yield And Quality ◽  
Food And Feed ◽  
Superior Genotypes ◽  
Selection Of ◽  
The Ideal

Lentil is a versatile and profitable pulse crop with high nutritional food and feed values. The objectives of the study were to determine suitable locations for high yield and quality in terms of production and/or breeding, and to identify promising genotypes. For this reason, five lentil genotypes were evaluated in a multi-location network consisting of ten diverse sites for two consecutive growing seasons, for seed yield (SY), other agronomic traits, crude protein (CP), cooking time (CT) and crude protein yield (CPY). A significant diversification and specialization of the locations was identified with regards to SY, CP, CT and CPY. Different locations showed optimal values for each trait. Locations E4 and E3, followed by E10, were “ideal” for SY; locations E1, E3 and E7 were ideal for high CP; and the “ideal” locations for CT were E3 and E5, followed by E2. Therefore, the scope of the cultivation determined the optimum locations for lentil cultivation. The GGE-biplot analysis revealed different discriminating abilities and representativeness among the locations for the identification of the most productive and stable genotypes. Location E3 (Orestiada, Region of Thrace) was recognized as being optimal for lentil breeding, as it was the “ideal” or close to “ideal” for the selection of superior genotypes for SY, CP, CT and CPY. Adaptable genotypes (cv. Dimitra, Samos) showed a high SY along with excellent values for CP, CT and CPY, and are suggested either for cultivation in many regions or to be exploited in breeding programs.

scholarly journals Advances in Cereal Crop Genomics for Resilience under Climate Change

Life ◽  
2021 ◽  
Vol 11 (6) ◽  
pp. 502
Author(s):  
Tinashe Zenda ◽  
Songtao Liu ◽  
Anyi Dong ◽  
Huijun Duan
Keyword(s):  
Climate Change ◽  
Genome Sequencing ◽  
Gene Editing ◽  
Agronomic Traits ◽  
Cereal Crops ◽  
Agricultural System ◽  
Plant Genomics ◽  
Crop Species ◽  
Underutilized Species ◽  
Recent Developments

Adapting to climate change, providing sufficient human food and nutritional needs, and securing sufficient energy supplies will call for a radical transformation from the current conventional adaptation approaches to more broad-based and transformative alternatives. This entails diversifying the agricultural system and boosting productivity of major cereal crops through development of climate-resilient cultivars that can sustainably maintain higher yields under climate change conditions, expanding our focus to crop wild relatives, and better exploitation of underutilized crop species. This is facilitated by the recent developments in plant genomics, such as advances in genome sequencing, assembly, and annotation, as well as gene editing technologies, which have increased the availability of high-quality reference genomes for various model and non-model plant species. This has necessitated genomics-assisted breeding of crops, including underutilized species, consequently broadening genetic variation of the available germplasm; improving the discovery of novel alleles controlling important agronomic traits; and enhancing creation of new crop cultivars with improved tolerance to biotic and abiotic stresses and superior nutritive quality. Here, therefore, we summarize these recent developments in plant genomics and their application, with particular reference to cereal crops (including underutilized species). Particularly, we discuss genome sequencing approaches, quantitative trait loci (QTL) mapping and genome-wide association (GWAS) studies, directed mutagenesis, plant non-coding RNAs, precise gene editing technologies such as CRISPR-Cas9, and complementation of crop genotyping by crop phenotyping. We then conclude by providing an outlook that, as we step into the future, high-throughput phenotyping, pan-genomics, transposable elements analysis, and machine learning hold much promise for crop improvements related to climate resilience and nutritional superiority.

Climate Change Impacts on Agriculture in Latin America and the Caribbean: An Application of the Integrated Economic-Environmental Modeling (IEEM) Platform

2021 ◽  
Author(s):  
Onil Banerjee ◽  
Martin Cicowiez ◽  
Ana Rios ◽  
Cicero De Lima
Keyword(s):  
Climate Change ◽  
Labor Productivity ◽  
Latin American ◽  
Climate Change Impacts ◽  
Crop Productivity ◽  
Environmental Modeling ◽  
Sectoral Output ◽  
The Caribbean ◽  
Negative Impacts ◽  
Agricultural Yields

In this paper, we assess the economy-wide impact of Climate Change (CC) on agriculture and food security in 20 Latin American and the Caribbean (LAC) countries. Specifically, we focus on the following three channels through which CC may affect agricultural and non-agricultural production: (i) agricultural yields; (ii) labor productivity in agriculture, and; (iii) economy-wide labor productivity. We implement the analysis using the Integrated Economic-Environmental Model (IEEM) and databases for 20 LAC available through the OPEN IEEM Platform. Our analysis identifies those countries most affected according to key indicators including Gross Domestic Product (GDP), international commerce, sectoral output, poverty, and emissions. Most countries experience negative impacts on GDP, with the exception of the major soybean producing countries, namely, Brazil, Argentina and Uruguay. We find that CC-induced crop productivity and labor productivity changes affect countries differently. The combined impact, however, indicates that Belize, Nicaragua, Guatemala and Paraguay would fare the worst. Early identification of these hardest hit countries can enable policy makers pre-empting these effects and beginning the design of adaptation strategies early on. In terms of greenhouse gas emissions, only Argentina, Chile and Uruguay would experience small increases in emissions.

scholarly journals Combining ability and heterosis for agronomic traits in chili pepper

2012 ◽  
Vol 30 (2) ◽  
pp. 226-233 ◽  
Author(s):  
Rosana Rodrigues ◽  
Leandro SA Gonçalves ◽  
Cintia dos S Bento ◽  
Claudia P Sudré ◽  
Renata R Robaina ◽  
...  
Keyword(s):  
Combining Ability ◽  
Agronomic Traits ◽  
Fruit Weight ◽  
Matter Content ◽  
Soluble Solids ◽  
Dry Matter Content ◽  
Additive Effects ◽  
Dry Fruit ◽  
Potential Use ◽  
Janeiro State

The Capsicum breeding has been developed with emphasis in bell pepper (Capsicum annuum) and few studies are available in other species, especially C. baccatum, which has potential use not only as disease resistance source but also in obtaining new genotypes suitable for farmers' production. In the present work, the combining ability of ten C. baccatum hybrids, along with their five parentals, were tested considering 12 agronomic traits. The hybrids were produced from a complete diallel without reciprocals and assessed in greenhouse conditions, in Campos dos Goytacazes, Rio de Janeiro state, Brazil, during the period July to December 2009. The experimental design was a randomized block with three replications and the following agronomic traits evaluated: canopy diameter (CD), plant height (PH), days to fructification (DF), number of fruits per plant (NFP), mean fruit weight (FW), dry fruit matter weight (FDM), dry matter content (DM), fruit length (FL), fruit diameter (FD), pulp thickness (PT), total soluble solids (TSS) and yield per plant (PP). Significant differences were observed only for general combining ability (GCA) in regard to PH, FW, FDM, DM, PT and TSS, indicating that additive effects were involved on the control of these characters. For CD, DF, NFP, FL, FD and PP, there was significance not only for GCA but also for specific combining ability (SCA) indicating that non-additive and additive effects were important in genetic control of these traits. The hybrids UENF 1629 X UENF 1732, UENF 1616 X UENF 1732 and UENF 1624 X UENF 1639 were considered superior because they have favorable agronomic traits.

scholarly journals Comportamento Per se de híbridos de capim-elefante para fins energéticos

2016 ◽  
Vol 7 (1) ◽  
pp. 73
Author(s):  
Bruna Rafaela Da Silva Menezes ◽  
Rogério Figueiredo Daher ◽  
Geraldo De Amaral Gravina ◽  
Romildo Domingos Gottardo ◽  
Larissa Scheideger Athayde Schneider ◽  
...  
Keyword(s):  
Dry Matter ◽  
Agronomic Traits ◽  
Elephant Grass ◽  
Experimental Station ◽  
Matter Production ◽  
Diallel Crossing ◽  
Blade Width ◽  
Dry Seasons ◽  
Per Se ◽  
Partial Diallel

The aim of this study was to evaluate the Per se performance of elephant grass hybrids obtained by partial diallel crossing and also their parents for energy purposes through agronomic traits during rainy and dry seasons. The experiment was conducted at Pesagro experimental station, Campos dos Goytacazes, RJ, Brazil, in randomized blocks, with three repetitions. The crosses were made between contrasting parents in a partial diallel scheme with 5 female parents x 5 male parents. The treatments consisted of ten parents, twenty-five hybrid combinations and the control. Three cuts were realized for evaluations (April and October 2013 and April 2014). The characteristics evaluated were: plant height (ALT), in m; stem diameter (SD), in cm; leaf blade width (LB), in cm; number of tillers per linear meter (NP); dry matter percentage (%DM) and dry matter production (DMP), in t.ha-1. Variance analysis were performed and the means were grouped according to Scott-Knott test (P <0.05). It was oberved that the hybrid H4 (Cuban Pinda x Taiwan A-144), H7 (Cameroon - Piracicaba x Três Rios), H8 (Cameroon - Piracicaba x Mercker 86-Mexico), H10 (Cameroon - Piracicaba x Roxo), H13 (P241-86-Piracicaba x Mercker 86-Mexico), H17 (IAC Campinas x Três Rios) and H18 (IAC-86-Campinas x Mercker 86-Mexico) presented high biomass production.

Sign in / Sign up

Export Citation Format

Share Document