RESUMO
When successful, the operation of local and international networks of crop seed distribution or "seed systems" ensures farmer access to seed and impacts rural livelihoods and food security. Farmers are both consumers and producers in seed systems and benefit from access to global markets. However, phytosanitary measures and seed purity tests are also needed to maintain seed quality and prevent the spread of costly weeds, pests and diseases, in some countries regulatory controls have been in place since the 1800s. Nevertheless, seed contaminants are internationally implicated in between 7% and 37% of the invasive plant species and many of the agricultural pests and diseases. We assess biosecurity risk across international seed trade networks of forage crops using models of contaminant spread that integrate network connectivity and trade volume. To stochastically model hypothetical contaminants through global seed trade networks, realistic dispersal probabilities were estimated from quarantine weed seed detections and incursions from border security interception data in New Zealand. For our test case we use contaminants linked to the global trade of ryegrass and clover seed. Between 2014 and 2018 only four quarantine weed species (222 species and several genera are on the quarantine schedule) warranting risk mitigation were detected at the border. Quarantine weeds were rare considering that average import volumes were over 190 tonnes for ryegrass and clover, but 105 unregulated contaminant species were allowed in. Ryegrass and clover seed imports each led to one post-border weed incursion response over 20 years. Trade reports revealed complex global seed trade networks spanning >134 (ryegrass) and >110 (clover) countries. Simulations showed contaminants could disperse to as many as 50 (clover) or 80 (ryegrass) countries within 10 time-steps. Risk assessed via network models differed 18% (ryegrass) or 48% (clover) of the time compared to risk assessed on trade volumes. We conclude that biosecurity risk is driven by network position, the number of trading connections and trade volume. Risk mitigation measures could involve the use of more comprehensive lists of regulated species, comprehensive inspection protocols, or the addition of field surveillance at farms where seed is planted.
Assuntos
Agricultura/métodos , Comércio/normas , Banco de Sementes/tendências , Biosseguridade/tendências , Comércio/tendências , Segurança Computacional , Produtos Agrícolas/crescimento & desenvolvimento , Fazendeiros , Fazendas , Espécies Introduzidas , Nova Zelândia , Quarentena , Sementes/crescimento & desenvolvimentoRESUMO
Prunus sibirica is an economically important tree species that occurs in arid and semi-arid regions of northern China. For this species, creation of a core collection is critical for future ecological and evolutionary studies, efficient economic utilization, and development and management of the broader collection of its germplasm resources. In this study, we sampled 158 accessions of P. sibirica from Russia and China using 30 pair of simple sequence repeat molecular markers and 30 different schemes to identify candidate core collections. The 30 schemes were based on combinations of two different sampling strategies, three genetic distances, and five different sample sizes of the complete germplasm resource. We determined the optimal core collection from among the 30 results based on maximization of genetic diversity among groups according to Number of observed alleles (Na), Number of effective alleles (Ne), Shannon's information index (I), Polymorphic information content (PIC), Nei gene diversity (H) and compared to the initial collection of 158 accessions. We found that the optimal core collection resulted from preferred sampling at 25% with Nei & Li genetic distance these ratios of Na, Ne, I, PIC and H to the complete 158 germplasm resources were 73.0%, 113%, 102%, 100% and 103%, respectively, indicating that the core collection comprised a robust representation of genetic diversity in P. sibirica. The proposed core collection will be valuable for future molecular breeding of this species and management of its germplasm resources.
Assuntos
Conservação dos Recursos Naturais/métodos , Repetições de Microssatélites/genética , Prunus armeniaca/genética , Alelos , Evolução Biológica , Biomarcadores , Análise por Conglomerados , Clima Desértico , Variação Genética/genética , Prunus/genética , Prunus armeniaca/metabolismo , Tamanho da Amostra , Banco de Sementes/tendências , Manejo de Espécimes/métodosRESUMO
Resumen Introducción: El banco de semillas en el suelo es uno de los indicadores ecológicos más importantes para la evaluación y monitoreo de recuperación de ecosistemas degradados. Así mismo, actualmente indicadores ecológicos de restauración son usados en áreas afectadas por la ruptura de la represa de relaves de Fundão en Mariana, Minas Gerais, Brasil. Objetivo: En este estudio se evaluó la variación de la riqueza, composición de especies, densidad y parámetros fitosociológicos del banco de semillas en dos profundidades de relaves mineros en Mariana, municipio de Mariana, Minas Gerais, Brasil. Métodos: Se recolectaron 15 muestras por nivel de profundidad, en la capa superior (Profundidad1, P1 = 0-2.5 cm) y capa inferior (Profundidad2, P2 = 2.5-5.0 cm) del relave de minería para examinar el banco de semillas viable, que luego se colocó en un invernadero para la germinación. Posteriormente se contaron e identificaron semanalmente todos los individuos de cada especie durante un período de seis meses. Resultados: Se demostró que existe un banco de semillas en las capas superficiales de relaves mineros acumulados en las áreas afectadas de Mariana, con una marcada diferencia entre profundidades en términos de riqueza de especies y densidad de individuos. Se observó una mayor riqueza y número de individuos en P1, (1 165 semillas germinadas), pertenecientes a 18 familias y 47 especies, en comparación a P2 (197 individuos), pertenecientes a 12 familias y 23 especies. El banco de semillas de la capa P1 está influenciado por la lluvia de semillas del bosque cercano. Por otro lado, el banco de semillas de P2, puede ser característico de los relaves mineros. Conclusiones: El banco de semillas estudiado puede tener efectos positivos sobre la recuperación en el área de estudio, debido a la alta proporción de especies nativas, pioneras y anemocóricas típicas de etapas iniciales de sucesión secundaria.
Abstract Introduction: The soil seed bank is one of the most important ecological indicators for evaluating and monitoring the resilience of degraded ecosystems. Likewise, ecological restoration indicators are currently used in areas affected by the rupture of the Fundão tailings dam in Mariana, Minas Gerais, Brazil. Objective: To evaluate the seed bank at two depths of areas affected by mining tailings, Mariana municipality, Minas Gerais, Brazil. Methods: 15 samples (40 × 40 cm) were collected per level of depth, in the upper layer (Depth1, P1 = 0-2.5 cm), and lower layer (Depth2, P2 = 2.5-5.0 cm) of the mining tailings to survey the viable seed bank, which was later placed in a greenhouse for germination and seedling identification. The samples were placed in plastic trays to germinate in the nursery, then counted and identified weekly for six months. Results: The results showed that there is a seed bank in the surface layers of accumulated mining tailings in the affected areas of Mariana, with a marked difference between depths in terms of species richness and density of individuals. Higher species richness and number of individuals were observed in P1, (1 165 germinated seeds), belonging to 18 families and 47 species, in comparison to P2 (197 individuals), belonging to 12 families and 23 species. Probably the seed bank of layer P1 is influenced by the rain of seeds from the nearby forest. On the other hand, the P2 seed bank can be characteristic of mining tailings. Conclusions: Seed bank patterns can have positive effects on forest resilience at the local-scale, due to the high proportion of native, pioneer and anemochorical species of early successional stages.