Assessment of GHG emissions in dairy production systems based on existing feed resources through the model under different climatic zones of Bangladesh and their mitigation options.

Objective: The current study evaluated the greenhouse gas (GHG) emissions of dairy cattle through the Global Livestock Environmental Assessment Model model and illustrated potential mitigation strategies by modifying nutrition interventions.

Materials And Methods: A semi-structural questionnaire was developed to calculate dairy animal GHG emissions. This study comprised 40 farmers from four districts: river basin (Pabna), drought-prone (Chapainobabganj), floodplain (Nilphamari), and saline-prone (Sathkhira) areas.

Ruminant Production from Napier Grass ( Schum): A Review.

Napier grass ( Schumach) supports a significant proportion of animal production in subtropical and tropical regions, but its quality is low and when offered alone, results in low ruminant production. Shifting the management of Napier grass towards a higher-quality feed increased milk yield and liveweight gain for small, mature cattle without supplementation. This review highlights the opportunity for further increases in milk and meat production for differing classes of livestock in the tropics and subtropics by improving the nutritive value of Napier grass using new best management practice flowing on to improve food security for the millions of people in these regions.

Spatially explicit database on crop-livestock management, soil, climate, greenhouse gas emissions and mitigation potential for all of Bangladesh.

This data article provides spatially explicit data on greenhouse gas (GHG) emissions and mitigation potential at various administrative levels for the whole of Bangladesh. The results arising from analysis of this database are presented in research article "Quantifying opportunities for greenhouse gas emissions mitigation using big data from smallholder crop and livestock farmers across Bangladesh" [1]. We collected crop and livestock management data and associated soil and climatic data from variety of primary and secondary sources outlined below in our methodology.

Quantifying opportunities for greenhouse gas emissions mitigation using big data from smallholder crop and livestock farmers across Bangladesh.

Climate change is and will continue to have significant implications for agricultural systems. While adaptation to climate change should be the priority for smallholder production systems, adoption of cost-effective mitigation options in agriculture not only contributes to food security but also reduces the extent of climate change and future adaptation needs. Utilizing management data from 16,413 and 12,548 crop and livestock farmers and associated soil and climatic data, we estimated GHG emissions generated from crop and livestock production using crop and livestock models, respectively.

Quality assessment and feeding impact of Moringa feed on intake, digestibility, enteric CH emission, rumen fermentation, and milk yield.

Objective: This experiment was designed to assess the quality and to evaluate the feeding impact of moringa feed on intake, digestibility, rumen fermentation, methane (CH) production, and milk yield.

Materials And Methods: According to body weight and exit-entry average daily milk production, fifteen BLRI cattle breed-1 lactating cows of 3rd or 4th stage of parturition with wk 3 and 4 of calving were selected and were equally and randomly distributed into three dietary groups. One group of cows was fed a control diet (T) consisting of 1:1 dry matter (DM) of Napier silage and conventionally mixed concentrate.

An estimation of greenhouse gas emission from livestock in Bangladesh.

Objectives: The study was undertaken to investigate the greenhouse gas (GHG) emission from livestock in Bangladesh.

Materials And Methods: The GHG emission inventory of livestock in Bangladesh was estimated according to the tier 1 approach of the Intergovernmental Panel on Climate Change (IPCC) using livestock population data from 2005 to 2018. It was also extrapolated for the next three decades, according to the growth of the livestock population.