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1.
PLoS Comput Biol ; 17(11): e1009559, 2021 11.
Artículo en Inglés | MEDLINE | ID: mdl-34748536

RESUMEN

In agricultural landscapes, the amount and organization of crops and semi-natural habitats (SNH) have the potential to promote a bundle of ecosystem services due to their influence on ecological community at multiple spatio-temporal scales. SNH are relatively undisturbed and are often source of complementary resources and refuges, therefore supporting more diverse and abundant natural pest enemies. However, the nexus of SNH proportion and organization with pest suppression is not trivial. It is thus crucial to understand how the behavior of pest and natural enemy species, the underlying landscape structure, and their interaction, may influence conservation biological control (CBC). Here, we develop a generative stochastic landscape model to simulate realistic agricultural landscape compositions and configurations of fields and linear elements. Generated landscapes are used as spatial support over which we simulate a spatially explicit predator-prey dynamic model. We find that increased SNH presence boosts predator populations by sustaining high predator density that regulates and keeps pest density below the pesticide application threshold. However, predator presence over all the landscape helps to stabilize the pest population by keeping it under this threshold, which tends to increase pest density at the landscape scale. In addition, the joint effect of SNH presence and predator dispersal ability among hedge and field interface results in a stronger pest regulation, which also limits pest growth. Considering properties of both fields and linear elements, such as local structure and geometric features, provides deeper insights for pest regulation; for example, hedge presence at crop field boundaries clearly strengthens CBC. Our results highlight that the integration of species behaviors and traits with landscape structure at multiple scales is necessary to provide useful insights for CBC.


Asunto(s)
Control Biológico de Vectores/métodos , Plaguicidas/farmacología , Agricultura/métodos , Agricultura/estadística & datos numéricos , Animales , Biología Computacional , Simulación por Computador , Conservación de los Recursos Naturales/métodos , Conservación de los Recursos Naturales/estadística & datos numéricos , Productos Agrícolas/crecimiento & desarrollo , Productos Agrícolas/parasitología , Ecosistema , Control de Plagas/métodos , Control de Plagas/estadística & datos numéricos , Control Biológico de Vectores/estadística & datos numéricos , Enfermedades de las Plantas/parasitología , Enfermedades de las Plantas/prevención & control , Conducta Predatoria
2.
Nat Plants ; 9(10): 1688-1696, 2023 10.
Artículo en Inglés | MEDLINE | ID: mdl-37735253

RESUMEN

In cereal crops, environmental fluctuations affect different physiological processes during various developmental phases associated with the formation of yield components. Because these effects are coupled with cultivar-specific phenology, studies investigating environmental responses in different cultivars can give contradictory results regarding key phases impacting yield performance. To dissect how genotype-by-environment interactions affect grain yield in winter wheat, we estimated the sensitivities of yield components to variation in global radiation, temperature and precipitation in 220 cultivars across 81 time-windows ranging from double ridge to seed desiccation. Environmental sensitivity responses were prominent in the short-term physiological subphases of spike and kernel development, causing phenologically dependent, stage-specific genotype-by-environment interactions. Here we reconcile contradicting findings from previous studies and show previously undetected effects; for example, the positive impact of global radiation on kernel weight during canopy senescence. This deep insight into the three-way interactions between phenology, yield formation and environmental fluctuations provides comprehensive new information for breeding and modelling cereal crops.


Asunto(s)
Interacción Gen-Ambiente , Triticum , Fitomejoramiento , Genotipo , Grano Comestible/genética , Productos Agrícolas
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