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Buick十年后的重逢 2006款别克lucerne

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车世界 2005年第11期 62-67页

作者：江南

全新的lucerne是别克品牌意义重大的里程碑车型,我们为这款车搭载了新的V8引擎,lucerne是近 10年来第一台采用V8引擎的轿车, 对于这款车,我们充满信心。——通用公司总经理John

关键词：别克 Buick lucerne 通用公司车身线条操控性能玻璃水安全气囊自排变速箱车内空

Estimation of alfalfa fall dormancy using spaced plant and sward trials across multiple environments

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Grassland Research 2023年第1期2卷 15-21页

作者： Scott A.Newell Daniel J.Undersander Donald Viands Julie Hansen Steve Orloff Daniel H.Putnam E.Charles Brummer Department of Plant Sciences University of CaliforniaDavisDavisCaliforniaUSA Department of Agronomy University of WisconsinMadisonMadisonWisconsinUSA Plant Breeding&Genetics Section School of Integrated Plant SciencesCornell UniversityIthacaNew YorkUSA Univeristy of California Cooperative Extension YrekaCaliforniaUSA

Background:Alfalfa is a globally important forage *** are characterized by fall dormancy(FD).FD affects biomass yield and winter survival and is used to identify appropriate growing regions of *** has historically been assessed by measuring the natural height of regrowth in autumn of spaced plants in the *** commercial alfalfa is normally grown as a solid planted sward,FD could be different if plants were grown under real production *** objective of this experiment was to assess whether FD ratings obtained from swards were similar to those obtained on spaced ***:We evaluated 20 alfalfa cultivars in field trials established in 2015 at five locations in the United *** harvested the trials in early autumn and measured regrowth plant height approximately 3 weeks later in 2015 and ***:Autumn plant height responded as expected for the established check cultivars in all *** dormancy ratings for cultivars under both management systems were highly ***:Estimating FD from spaced plant height measurements in autumn is very robust,and using height data from sward plots gives equivalent results to that measured in spaced plant *** finding has many practical advantages.

关键词： alfalfa fall dormancy lucerne Medicago sativa plant height

DISCIPLINE SYSTEM OF ALFALFA BIOLOGY: FROM MULTIOMICS TO BIOLOGICAL BREEDING

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Frontiers of Agricultural Science and Engineering 2022年第4期9卷 602-613页

作者： Tao WANG State Key Laboratory for Agrobiotechnology China Agricultural UniversityBeijing 100193China

Alfalfa(Medicago sativa)is the main leguminous forage crop with great ecologic and economic *** research of alfalfa in various fields has exploded,but has not been included in a systematic *** paper summarizes the status of global alfalfa research over the past 10 years,raise the subject concept of alfalfa biology,and review the recent advances from the perspective of discipline system as germplasm resources,multiomics and biotechnology,environmental biology,symbiotic nitrogen fixation,biological breeding and *** paper proposes the key unsolved scientific and technical issues in alfalfa biology,and hope to appeal the research interest of more plant scientists and to promote the development of alfalfa industry.

关键词： alfalfa discipline system forage biology lucerne Medicago sativa

Seasonal patterns in water uptake for Medicago sativa grown along an elevation gradient with shallow groundwater table in Yanchi county of Ningxia,Northwest China

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Journal of Arid Land 2016年第6期8卷 921-934页

作者： ZHU Lin ZHANG Huili GAO Xue QI Yashu XU Xing State Key Laboratory Breeding Base of Land Degradation and Ecological Restoration of North-western China Ningxia University Key Laboratory for Restoration and Reconstruction of Degraded Ecosystem of North-western China Ministry of EducationNingxia University Agricultural College Ningxia University

lucerne （Medicago sativa L.） is a deep-rooted perennial leguminous forage with high evapo-transpiration rate exceeding the annual precipitation in semi-arid areas of Northwest China. Groundwater might be the potential water sources of lucerne in the area with shallow groundwater table. In this study, stable isotopic compositions of oxygen and hydrogen （6180 and 8D） of different water sources and xylem sap were analyzed to determine the seasonal （April, June, July and August） and topographic （three slope positions） variations in water sources for lucerne growing in Ningxia eastern semi-arid area adjacent to Mu Us Desert characterized by shallow groundwater table. IsoSource software was used to calculate the probable contribution of different water sources to the total plant water uptake. Stomatal conductance, stem water potential, carbon isotope discrimination （A13C） of whole plant were also determined for evaluating the water status of lucerne growing at different slope positions. The results showed that soil water content increased as the elevation decreased. Oxygen compositions of soil water in the 0-40 cm profile fluctuated considerably. Soil water 8180 values in deep profile （〉3.5 m） were similar to those in groundwater, implying the recharge of groundwater to this soil layer. Highest water utilization rate from deep soil profile （below 350 cm） was recorded for lucerne grown at the slope position 1 （groundwater table depth of 3.5-3.9 m） in April, June and July. The lucernes at slope position 2 （groundwater table depth of 5.8-6.4 m） and slope position 3 （groundwater table depth 7.1-8.3 m） mostly used water from deep soil layers （below 350 cm） during dry period, and turned to use water from superficial soil layer in wet period. Higher yield, A13C value of whole plant and stomatal conductance were observed for lucerne grown at the slope position 1 than those at other slope positions. These results indicated that groundwater is a significant water source for transpi

关键词： lucerne water uptake groundwater table oxygen and hydrogen isotopic compositions evapo-transpiration

Distribution and Productivity of Naturalized Alfalfa in Mixed-Grass Prairie

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American Journal of Plant Sciences 2019年第6期10卷 1030-1047页

作者： Lan Xu Arvid Boe Patricia S. Johnson Roger N. Gates Christopher G. Misar Department of Natural Resource Management South Dakota State University Brookings SD USA Department of Agronomy Horticulture and Plant Science South Dakota State University Brookings SD USA Department of Natural Resource Management South Dakota State University West River Ag Center Rapid City SD USA College of Agricultural and Environmental Sciences Whitfield County Extension University of Georgia Dalton GA USA USDA-ARS Northern Crop Science Laboratory Fargo ND USA

Alfalfa (Medicago sativa L.) is an important forage and conservation crop in North America but occurrences of naturalized alfalfa in rangelands are rare. A naturalized population of yellow-flowered alfalfa in mixed-grass prairie on the Grand River National Grassland in South Dakota has potential agricultural value for the region. Despite this value, the distribution pattern of this alfalfa among and within native plant communities in the northern Great Plains is unknown. Field studies were conducted from 2003 through 2006 along topographic positions at two sites where yellow-flowered alfalfa was naturalized to evaluate the relationships of yellow-flowered alfalfa on biomass production, cover, species diversity, and alfalfa seedbank distribution characteristics. High yellow-flowered alfalfa cover (>50%) was associated with increased total biomass and occurred exclusively in swales and toeslopes that had silty loam soils. However, species diversity and non-alfalfa biomass were reduced when yellow-flowered alfalfa cover was high. Yellow-flowered alfalfa cover was lower and species richness was higher on backslopes and shoulder areas where sandy loam soils were present. A strong positive linear association existed between yellow-flowered alfalfa cover and alfalfa seedbank density (r values ranged from 0.76 to 0.82, P < 0.0001). Greater than 99% of the seeds were viable but germination rate was only 4%, indicating a high percentage of hard seed in this alfalfa population. Naturalized yellow-flowered alfalfa was a dominant component of a stable, low diversity plant community composed of mainly introduced species in rich soils of swales/toeslopes that contributed to forage production and quality in mixed-grass prairie in the northern Great Plains.

关键词： Biomass Production Diversity Falcata lucerne Rangelands Seed Bank Species Richness

Validation of a Technique for Estimating Alfalfa (Medicago sativa) Biomass from Canopy Volume

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American Journal of Plant Sciences 2016年第1期7卷 238-245页

作者： Christopher G. Misar Lan Xu Arvid Boe Roger N. Gates Patricia S. Johnson Andrew E. Olson Northern Crop Science Laboratory USDA-ARS Fargo ND USA Department of Natural Resource Management South Dakota State University Brookings SD USA Department of Plant Science South Dakota State University Brookings SD USA Department of Natural Resource Management WRAC South Dakota State University Rapid City SD USA

Determining biomass production of individual alfalfa (Medicago sativa L.) plants in space planted evaluation studies is generally not feasible. Clipping plants is time consuming, expensive, and often not possible if the plants are subjected to grazing. A regression function (B′ = 0.72558 + 0.11638 × V′) was developed from spaced plants growing on rangeland in northwestern South Dakota near Buffalo to nondestructively estimate individual plant biomass (B) from canopy volume (V). However, external validation is necessary to effectively apply the model to other environments. In the summer of 2015, new data to validate the model were collected from spaced plants near Brookings, South Dakota. Canopy volume and clipped plant biomass were obtained from ten alfalfa populations varying in genetic background, growth habit, and growth stage. Fitted models for the model-building and validation data sets had similar estimated regression coefficients and attributes. Mean squared prediction errors (MSPR) were similar to or smaller than error mean square (MSE) of the model-building regression model, indicating reasonable predictive ability. Validation results indicated that the model reliably estimated biomass of plants in another environment. However, the technique should not be utilized where individual plants are not easily distinguished, such as alfalfa monocultures. Estimating biomass from canopy volume values that are extrapolations (>2.077 × 106 cm3) of the model-building data set is not recommended.

关键词： Forage Production Forage Yield lucerne Phytomass Predictive Ability