Feed legumes for truly sustainable crop-animal systems

Annicchiarico, Paolo

doi:10.4081/ija.2017.880

Cited by 18 publications

(19 citation statements)

References 46 publications

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“…High protein and energy value for animal nutrition [8], and remarkable flexibility of utilization (as grain, hay, or silage) [10], are further assets of this crop. Pea exhibited a relatively high rate of genetic yield gain, estimated as 1.3% per year according to international cultivars evaluated in Italy between 1992 and 2001 [11], and about 2% per year in Canada based on varieties released between 1993 and 2012 [12]. To secure high and stable yield, however, pea breeding has to tackle several abiotic and biotic stresses, most of which have specific regional relevance [12].…”

Section: Introductionmentioning

confidence: 99%

Pea genomic selection for Italian environments

Annicchiarico¹,

N.²,

Pecetti³

et al. 2019

BMC Genomics

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Background A thorough verification of the ability of genomic selection (GS) to predict estimated breeding values for pea ( Pisum sativum L.) grain yield is pending. Prediction for different environments (inter-environment prediction) has key importance when breeding for target environments featuring high genotype × environment interaction (GEI). The interest of GS would increase if it could display acceptable prediction accuracies in different environments also for germplasm that was not used in model training (inter-population prediction). Results Some 306 genotypes belonging to three connected RIL populations derived from paired crosses between elite cultivars were genotyped through genotyping-by-sequencing and phenotyped for grain yield, onset of flowering, lodging susceptibility, seed weight and winter plant survival in three autumn-sown environments of northern or central Italy. The large GEI for grain yield and its pattern (implying larger variation across years than sites mainly due to year-to-year variability for low winter temperatures) encouraged the breeding for wide adaptation. Wider within-population than between-population variation was observed for nearly all traits, supporting GS application to many lines of relatively few elite RIL populations. Bayesian Lasso without structure imputation and 1% maximum genotype missing rate (including 6058 polymorphic SNP markers) was selected for GS modelling after assessing different GS models and data configurations. On average, inter-environment predictive ability using intra-population predictions reached 0.30 for yield, 0.65 for onset of flowering, 0.64 for seed weight, and 0.28 for lodging susceptibility. Using inter-population instead of intra-population predictions reduced the inter-environment predictive ability to 0.19 for grain yield, 0.40 for onset of flowering, 0.28 for seed weight, and 0.22 for lodging susceptibility. A comparison of GS vs phenotypic selection (PS) based on predicted genetic gains per unit time for same selection costs suggested greater efficiency of GS for all traits under various selection scenarios. For yield, the advantage in predicted efficiency of GS over PS was at least 80% using intra-population predictions and 20% using inter-population predictions. A genome-wide association study confirmed the highly polygenic control of most traits. Conclusions Genome-enabled predictions can increase the efficiency of pea line selection for wide adaptation to Italian environments relative to phenotypic selection. Electronic supplementary material The online version of this article (10.1186/s12864-019-5920-x) contains supplementary material, which is available to authorized users.

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Section: Introductionmentioning

confidence: 99%

Pea genomic selection for Italian environments

Annicchiarico¹,

N.²,

Pecetti³

et al. 2019

BMC Genomics

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“…Multiple barriers limit the production, processing, marketing, and consumption of legumes in Europe, which are caused by various forms of system lock-ins and capacity gaps that span multiple levels of the food system. These system lock-ins have been analyzed extensively, and the low production and consumption have been attributed to many factors, such as (a) insufficient understanding and appreciation of non-marketed products and services of legumes by farmers, (b) agri-environmental regulations and public or private payments that only partly address the negative externalities produced by market failure of crop specialization, (c) lower yields and yield instability of legumes causing low profitability compared to other major non-legume crops, (d) reduced access to sufficient and publicly-funded independent agricultural extension or advisory services skilled in legume-supported crop system management, (e) lack of capacities for aggregation and post-harvest storage and processing, and (f) limitations in the categorization of legumes (in wholesalers) [3][4][5][6].…”

Section: Introductionmentioning

confidence: 99%

Policy Interventions Promoting Sustainable Food- and Feed-Systems: A Delphi Study of Legume Production and Consumption

Balázs¹,

Kelemen²,

Centofanti³

et al. 2021

Sustainability

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The food- and feed-value systems in the European Union are not protein self-sufficient. Despite the potential of legume-supported production systems to reduce the externalities caused by current cultivation practices (excessive use of N fertilizer) and improve the sustainability of the arable cropping systems and the quality of human diets, sufficient production of high-protein legume grains in Europe has not been achieved due to multiple barriers. Identifying the barriers to the production and consumption of legumes is the first step in realizing new pathways towards more sustainable food systems of which legumes are integral part. In this study, we engage stakeholders and decision-makers in a structured communication process, the Delphi method, to identify policy interventions leveraging barriers that hinder the production and consumption of legumes in the EU. This study is one of a kind and uses a systematic method to reach a common understanding of the policy incoherencies across sectors. Through this method we identify policy interventions that may promote the production of legumes and the creation of legume-based products in the EU. Policies that encourage reduced use of inorganic N fertilizer represent an important step toward a shift in the increased cultivation of legumes. Relatedly, investment in R&D, extension services, and knowledge transfer is necessary to support a smooth transition from the heavy use of synthetic N fertilizer in conventional agriculture. These policy interventions are discussed within current EU and national plant-protein strategies.

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“…Alfalfa (alias lucerne, Medicago sativa L.) is the most‐grown perennial forage legume in temperate regions (Annicchiarico, Barrett, Brummer, Julier, & Marshall, ), where it displays higher productivity of feed proteins per unit area than any other forage or grain legume (Annicchiarico, ; Huyghe, ). However, the estimated breeding progress for forage yield has been very low, namely 0.00–0.30% per year, compared with 0.50–0.60% for other forage legumes such as white clover or red clover, and about 1.40% for maize (Annicchiarico et al., ; Brummer & Casler, ).…”

Section: Introductionmentioning

confidence: 99%

Genetic structure of putative heterotic populations of alfalfa

2017

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Semi‐hybrids between genetically distant alfalfa (Medicago sativa subsp. sativa) populations may display heterosis whose extent is affected by the structure of genetic diversity across populations. This study aimed to assess the genetic diversity across three putative heterotic populations, one Italian, one Egyptian and one of semi‐erect germplasm from Eastern Europe, Canada and Spanish Mielga (EECM population). Each population was bred from ten parents after various selection cycles. Fifteen genotypes per population were characterized by 20 polymorphic SSR markers. The among‐population variance was over eightfold smaller than the average within‐population variance (2.05 vs. 17.24) and accounted for 10.6% of the total variation. G’ST = .090 across markers indicated modest population differentiation. Various diversity measures, multidimensional scaling, and cluster analysis of the genetic structure indicated that the Italian population was more distant from the EECM population than the Egyptian one. The EECM and Egyptian populations were the most distant geographically and genetically. EECM displayed widest intrapopulation variation, accordingly to its constitutive geographical diversity. In conclusion, this study indicates modest genetic differentiation between alfalfa populations even for geographically distant germplasm.

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Feed legumes for truly sustainable crop-animal systems

Cited by 18 publications

References 46 publications

Pea genomic selection for Italian environments

Pea genomic selection for Italian environments

Policy Interventions Promoting Sustainable Food- and Feed-Systems: A Delphi Study of Legume Production and Consumption

Genetic structure of putative heterotic populations of alfalfa

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