Efficiency of threonine utilization in the growing pigs

ABSTRACT Objective. This study aimed to determine the marginal efficiency of threonine utilization in growing pigs by using the nitrogen balance technique. Materials and methods. Twelve castrated pigs with an average live weight of 72±2 kg were housed in metabolic cages maintained in a temperature controlled room of 22±3°C. The treatments consisted of four diets calculated to meet 30, 45, 60 and 70% of the nutritional requirements of standardized ileal digestible threonine. The amino acids others than threonine were maintained at least 15% above threonine requirements, expressed in terms of ideal levels. The amount of feed supplied was calculate to provide 2.6 times the metabolizable energy requirements for maintenance and adjusted daily according to an expected daily gain rate of 0.8 kg. Results. Pigs consumed 1.65 g kg-1 BW0.75 nitrogen daily, on average and 61% was retained and, as a result, 39% was excreted, being 31% through the feces and the remainder (69%) in the urine. The pigs showed a linear retention of threonine in response to the increase of standardized threonine intake. For each gram of standardized threonine intake 0.37 g were lost during the metabolism. Conclusions. It is concluded that for calculating nutritional requirements of standardized threonine of pigs by the factorial method, it is possible to use the utilization marginal efficiency of 0.63. RESUMEN Objetivo. El objetivo de este estudio fue determinar la eficiencia marginal del uso de treonina para cerdos en fase de crecimiento, por medio de la técnica de balance de nitrógeno. Material y métodos. Fueron utilizados doce cerdos machos castrados con peso promedio de 72±2 kg alojados en jaulas metabólicas climatizadas a una temperatura ambiente de 22±3°C. Los tratamientos consistieron en cuatro dietas calculadas para 30, 45, 60 y 70% de las necesidades nutricionales de treonina digestible estandarizada. Los demás aminoácidos se añadieron a las dietas para lograr una proporción de al menos 15% de sus necesidades expresadas con relación a la treonina. La cantidad de alimento proporcionado se calculó para suministrar 2.6 veces la energía metabolizable y ajustada todos los dias, según una tasa de ganancia media diaria de 0.8 kg. Resultados. Los cerdos consumieron 1.65 g kg-1 PV0.75 de nitrógeno por dia. En promedio 61% de nitrógeno ingerido se conservó y 39% fue excretado por el animal. El 31% se excretó en las heces y el resto (69%) en la orina. Los cerdos mostraron una retención lineal de treonina, con relación al aumento en la ingesta de treonina digestible estandarizada. Por cada gramo de treonina digestible estandarizada ingerido 0.37 g se perdieron durante el metabolismo. Conclusiones. Se concluye que, para el cálculo de las necesidades nutricionales de treonina digestible estandarizada para cerdos por método factorial, es posible utilizar la eficiencia marginal del uso de treonina a 0.63.  

Hyperdominance in Amazonian Forest Carbon Cycling

While Amazonian forests are extraordinarily diverse, the abundance of trees is skewed strongly towards relatively few ‘hyperdominant’ species. In addition to their diversity, Amazonian trees are a key component of the global carbon cycle, assimilating and storing more carbon than any other ecosystem on Earth. Here we ask, using a unique data set of 530 forest plots, if the functions of storing and producing woody carbon are concentrated in a small number of tree species, whether the most abundant species also dominate carbon cycling, and whether dominant species are characterized by specific functional traits. We find that dominance of forest function is even more concentrated in a few species than is dominance of tree abundance, with only ≈1% of Amazon tree species responsible for 50% of carbon storage and productivity. Although those species that contribute most to biomass and productivity are often abundant, species maximum size is also influential, while the identity and ranking of dominant species varies by function and by region

Estimating the global conservation status of more than 15,000 Amazonian tree species

Estimates of extinction risk for Amazonian plant and animal species are rare and not often incorporated into land-use policy and conservation planning. We overlay spatial distribution models with historical and projected deforestation to show that at least 36% and up to 57% of all Amazonian tree species are likely to qualify as globally threatened under International Union for Conservation of Nature (IUCN) Red List criteria. If confirmed, these results would increase the number of threatened plant species on Earth by 22%. We show that the trends observed in Amazonia apply to trees throughout the tropics, and we predict thatmost of the world’s >40,000 tropical tree species now qualify as globally threatened. A gap analysis suggests that existing Amazonian protected areas and indigenous territories will protect viable populations of most threatened species if these areas suffer no further degradation, highlighting the key roles that protected areas, indigenous peoples, and improved governance can play in preventing large-scale extinctions in the tropics in this century

Efficiency of threonine utilization in the growing pigs

Objective. This study aimed to determine the marginal efficiency of threonine utilization in growing pigs by using the nitrogen balance technique. Materials and methods. Twelve castrated pigs with an average live weight of 72±2 kg were housed in metabolic cages maintained in a temperature controlled room of 22±3°C. The treatments consisted of four diets calculated to meet 30, 45, 60 and 70% of the nutritional requirements of standardized ileal digestible threonine. The amino acids others than threonine were maintained at least 15% above threonine requirements, expressed in terms of ideal levels. The amount of feed supplied was calculate to provide 2.6 times the metabolizable energy requirements for maintenance and adjusted daily according to an expected daily gain rate of 0.8 kg. Results. Pigs consumed 1.65 g kg-1 BW0.75 nitrogen daily, on average and 61% was retained and, as a result, 39% was excreted, being 31% through the feces and the remainder (69%) in the urine. The pigs showed a linear retention of threonine in response to the increase of standardized threonine intake. For each gram of standardized threonine intake 0.37 g were lost during the metabolism. Conclusions. It is concluded that for calculating nutritional requirements of standardized threonine of pigs by the factorial method, it is possible to use the utilization marginal efficiency of 0.63.Objetivo. El objetivo de este estudio fue determinar la eficiencia marginal del uso de treonina para cerdos en fase de crecimiento, por medio de la técnica de balance de nitrógeno. Material y métodos. Fueron utilizados doce cerdos machos castrados con peso promedio de 72±2 kg alojados en jaulas metabólicas climatizadas a una temperatura ambiente de 22±3°C. Los tratamientos consistieron en cuatro dietas calculadas para 30, 45, 60 y 70% de las necesidades nutricionales de treonina digestible estandarizada. Los demás aminoácidos se añadieron a las dietas para lograr una proporción de al menos 15% de sus necesidades expresadas con relación a la treonina. La cantidad de alimento proporcionado se calculó para suministrar 2.6 veces la energía metabolizable y ajustada todos los dias, según una tasa de ganancia media diaria de 0.8 kg. Resultados. Los cerdos consumieron 1.65 g kg-1 PV0.75 de nitrógeno por dia. En promedio 61% de nitrógeno ingerido se conservó y 39% fue excretado por el animal. El 31% se excretó en las heces y el resto (69%) en la orina. Los cerdos mostraron una retención lineal de treonina, con relación al aumento en la ingesta de treonina digestible estandarizada. Por cada gramo de treonina digestible estandarizada ingerido 0.37 g se perdieron durante el metabolismo. Conclusiones. Se concluye que, para el cálculo de las necesidades nutricionales de treonina digestible estandarizada para cerdos por método factorial, es posible utilizar la eficiencia marginal del uso de treonina a 0.63

Markedly divergent estimates of Amazon forest carbon density from ground plots and satellites

Aim The accurate mapping of forest carbon stocks is essential for understanding the global carbon cycle, for assessing emissions from deforestation, and for rational land-use planning. Remote sensing (RS) is currently the key tool for this purpose, but RS does not estimate vegetation biomass directly, and thus may miss significant spatial variations in forest structure. We test the stated accuracy of pantropical carbon maps using a large independent field dataset. Location Tropical forests of the Amazon basin. The permanent archive of the field plot data can be accessed at: http://dx.doi.org/10.5521/FORESTPLOTS.NET/2014_1 Methods Two recent pantropical RS maps of vegetation carbon are compared to a unique ground-plot dataset, involving tree measurements in 413 large inventory plots located in nine countries. The RS maps were compared directly to field plots, and kriging of the field data was used to allow area-based comparisons. Results The two RS carbon maps fail to capture the main gradient in Amazon forest carbon detected using 413 ground plots, from the densely wooded tall forests of the north-east, to the light-wooded, shorter forests of the south-west. The differences between plots and RS maps far exceed the uncertainties given in these studies, with whole regions over-or under-estimated by > 25%, whereas regional uncertainties for the maps were reported to be <5%. Main conclusions Pantropical biomass maps are widely used by governments and by projects aiming to reduce deforestation using carbon offsets, but may have significant regional biases. Carbon-mapping techniques must be revised to account for the known ecological variation in tree wood density and allometry to create maps suitable for carbon accounting. The use of single relationships between tree canopy height and above-ground biomass inevitably yields large, spatially correlated errors. This presents a significant challenge to both the forest conservation and remote sensing communities, because neither wood density nor species assemblages can be reliably mapped from space

Markedly divergent estimates of Amazon forest carbon density from ground plots and satellites

Aim: The accurate mapping of forest carbon stocks is essential for understanding the global carbon cycle, for assessing emissions from deforestation, and for rational land-use planning. Remote sensing (RS) is currently the key tool for this purpose, but RS does not estimate vegetation biomass directly, and thus may miss significant spatial variations in forest structure. We test the stated accuracy of pantropical carbon maps using a large independent field dataset. Location: Tropical forests of the Amazon basin. The permanent archive of the field plot data can be accessed at: http://dx.doi.org/10.5521/FORESTPLOTS.NET/2014_1 Methods: Two recent pantropical RS maps of vegetation carbon are compared to a unique ground-plot dataset, involving tree measurements in 413 large inventory plots located in nine countries. The RS maps were compared directly to field plots, and kriging of the field data was used to allow area-based comparisons. Results: The two RS carbon maps fail to capture the main gradient in Amazon forest carbon detected using 413 ground plots, from the densely wooded tall forests of the north-east, to the light-wooded, shorter forests of the south-west. The differences between plots and RS maps far exceed the uncertainties given in these studies, with whole regions over- or under-estimated by >25%, whereas regional uncertainties for the maps were reported to be <5%. Main conclusions: Pantropical biomass maps are widely used by governments and by projects aiming to reduce deforestation using carbon offsets, but may have significant regional biases. Carbon-mapping techniques must be revised to account for the known ecological variation in tree wood density and allometry to create maps suitable for carbon accounting. The use of single relationships between tree canopy height and above-ground biomass inevitably yields large, spatially correlated errors. This presents a significant challenge to both the forest conservation and remote sensing communities, because neither wood density nor species assemblages can be reliably mapped from space. © 2014 The Authors. Global Ecology and Biogeography published by John Wiley & Sons Ltd.

Plot Data from "Diversity and carbon storage across the tropical forest biome."

Tropical forests are global centres of both biodiversity and carbon storage. Many tropical countries aspire to protect forest to fulfil biodiversity and climate mitigation policy targets, but the conservation strategies needed to achieve these two functions depend critically on the tropical forest diversity-carbon relationship and this remains largely unexplored. Attempts to assess and understand this relationship in tropical forest ecosystems have been hindered by the scarcity of inventories where carbon storage in aboveground biomass and species identifications have been simultaneously and robustly quantified. Here, we compile a unique pan-tropical dataset of 360 plots located in old-growth closed-canopy forest, surveyed using standardised methods, allowing a multi-scale evaluation of the relationship between carbon storage and tree diversity. We find strongly contrasting variation in diversity and carbon among continents. Thus, on average, African forests have high carbon storage but relatively low diversity, Amazonian forests have high diversity but less carbon, and Southeast Asian forests have both high diversity and high carbon storage. Carbon-diversity relationships among all plots across the tropics are absent, and within continents are either weak (Asia) or absent (Amazonia, Africa). Within 1 ha plots a weak positive relationship is detectable, indicating that diversity effects in tropical forests may be scale dependent. The absence of clear diversity-carbon relationships at scales relevant to most conservation planning means that carbon-centred conservation strategies alone would miss many high diversity ecosystems. As tropical forests can have any combination of tree diversity and carbon stocks both will require explicit consideration when optimising policies to manage tropical carbon and biodiversity