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Influence of harvest date on seed yield and quality in forage kochia

Cody F. CREECH, Blair L. WALDRON, Corey V. RAMSOM, Dale R. ZOBELL, Joseph Earl CREECH

Frontiers of Agricultural Science and Engineering 2018, Volume 5, Issue 1,   Pages 71-79 doi: 10.15302/J-FASE-2017196

Abstract: Forage kochia ( ) is used for rangeland reclamation and livestock and wildlife forage, but limited research

Keywords: forage     rangeland     seed germination     seed quality    

Rangeland Productivity in China

Hou Fujiang,Wang Chunmei,Lou Shanning,Hou Xiangyang and Hu Tianming

Strategic Study of CAE 2016, Volume 18, Issue 1,   Pages 80-93 doi: 10.15302/J-SSCAE-2016.01.011

Abstract:

Through analyzing the plant production and animal production of grassland in China and comparing the grassland productivity at home and abroad, the author finds that, in the past over 30 years, the grass production of grassland declined slightly in some regions of China. Among the global animal products, 40.08% came from the world's grassland and 67.35% was from middle income countries. 24.1% of the global beef production and 31.9% of the global mutton production were supported by grassland. The grazing capacity of the grassland of low income countries was 87.4% higher than that of high income countries and 66.4% higher than that of middle income countries. However, their output of animal products respectively accounts for 37.3% and 71.9% of that of high and middle income countries. With appropriate grazing utilization, the productivity of grassland in China can reach 6.35×109 APU. The meat production from animal grazing grassland can reach 2.959×106 t, accounting for 3.5% of the national meat production and 27.4% of the national beef and mutton production. After the transformation of modernization of grassland animal husbandry, China's grassland productivity will be close to that of high income countries with a potential increase of about 50%–200%.

Keywords: grassland productivity     grass production     grazing     grazing capacity     animal product unit (APU)    

Integrating space and time: a case for phenological context in grazing studies and management

Dawn M. BROWNING, Sheri SPIEGAL, Richard E. ESTELL, Andres F. CIBILS, Raul H. PEINETTI

Frontiers of Agricultural Science and Engineering 2018, Volume 5, Issue 1,   Pages 44-56 doi: 10.15302/J-FASE-2017193

Abstract: In water-limited landscapes, patterns in primary production are highly variable across space and time. Livestock grazing is a common agricultural practice worldwide and a concern is localized overuse of specific pasture resources that can exacerbate grass losses and soil erosion. On a research ranch in New Mexico with average annual rainfall of 217 mm, we demonstrate with a quantitative approach that annual seasons vary greatly and examine foraging patterns in Angus-Hereford ( ) cows. We define five seasonal stages based on MODIS NDVI: pre-greenup, greenup, peak green, drydown and dormant, and examine livestock movements in 2008. Daily distance traveled by cows was greater and foraging area expanded during periods with higher precipitation. A regression model including minimum NDVI, rainfall and their interaction explained 81% of the seasonal variation in distance traveled by cows ( <0.01). Cows explored about 81 ha·d while foraging, but tended to explore smaller areas as the pasture became greener (greenup and peak green stages). Cows foraged an average of 9.7 h daily and spent more time foraging with more concentrated search patterns as pastures became greener. Our findings suggest that phenological context can expand the capacity to compare and integrate findings, and facilitate meta-analyses of grazing studies conducted at different locations and times of year.

Keywords: GPS collars     Jornada Experimental Range     land-surface phenology     livestock movement     LTAR     MODIS NDVI     rangeland    

Using balance of seasonal herbage supply and demand to inform sustainable grassland management on the Qinghai–Tibetan Plateau

Xinquan ZHAO, Liang ZHAO, Qi LI, Huai CHEN, Huakun ZHOU, Shixiao XU, Quanmin DONG, Gaolin WU, Yixin HE

Frontiers of Agricultural Science and Engineering 2018, Volume 5, Issue 1,   Pages 1-8 doi: 10.15302/J-FASE-2018203

Abstract: To mitigate the impacts of grassland degradation on the Qinghai–Tibetan Plateau (QTP), in recent decades China has been implementing large-scale conservation programs and has invested about 42 billion CNY (7 billion USD). However, these programs are faced with major challenges involving trade-offs between ecological function, livestock production and income of pastoralists. Scientific assessments, as well as technical and policy issues, have not fully captured the complex ecological, social and economic dynamics of the challenges facing grassland management on the QTP. Pastoral livestock production on the QTP is characterized by imbalance in both quality and quantity between livestock seasonal nutrient requirements and herbage production, which forces pastoralists to keep larger numbers of livestock for longer periods, leading to overgrazing. To solve these problems, an integrated crop-livestock system is promoted to improve the efficiency of livestock production and conserve natural grassland as well for a sustainable system for the QTP.

Keywords: ecosystem function     grassland degradation     grassland management     integrated rangeland-cropland-livestock    

Title Author Date Type Operation

Influence of harvest date on seed yield and quality in forage kochia

Cody F. CREECH, Blair L. WALDRON, Corey V. RAMSOM, Dale R. ZOBELL, Joseph Earl CREECH

Journal Article

Rangeland Productivity in China

Hou Fujiang,Wang Chunmei,Lou Shanning,Hou Xiangyang and Hu Tianming

Journal Article

Integrating space and time: a case for phenological context in grazing studies and management

Dawn M. BROWNING, Sheri SPIEGAL, Richard E. ESTELL, Andres F. CIBILS, Raul H. PEINETTI

Journal Article

Using balance of seasonal herbage supply and demand to inform sustainable grassland management on the Qinghai–Tibetan Plateau

Xinquan ZHAO, Liang ZHAO, Qi LI, Huai CHEN, Huakun ZHOU, Shixiao XU, Quanmin DONG, Gaolin WU, Yixin HE

Journal Article