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1.
Kip E. Panter Bryan L. Stegelmeier Dale R. Gardner Clinton A. Stonecipher Stephen T. Lee Don Kitchen Adeline Brackett Charlie Davis 《Journal of veterinary diagnostic investigation》2021,33(3):538
Salvia reflexa (lance-leaf sage)-contaminated alfalfa hay was fed to ~500 mixed-breed beef cattle. Within hours of exposure, nearly half of the cattle developed lethargy, anorexia, depression, and recumbency, followed by bellowing, colic, and death. Even though the uneaten contaminated hay was removed the first day, nearly 100 animals died within the first 48 h. Three of these cattle were examined postmortem, and tissues and hay samples were collected for microscopic and chemical analysis. Several days later, a smaller number of the clinically poisoned cattle developed neurologic disease with aberrant behavior, aggression, icterus, blindness, exhaustion, and death. A total of 165 cattle were fatally poisoned. Poisoned cattle had swollen, dark, mottled livers that had a prominent nutmeg-like lobular pattern on cut section. Histologically, there was severe centrilobular-to-panlobular hepatic necrosis with marked hepatocellular swelling, degeneration, and necrosis. The surviving cattle developed liver disease characterized by altered serum biochemical analyses and microscopic hepatocellular degeneration and necrosis. In subsequent biopsies and analysis, these lesions resolved within 6–7 mo. After confirming toxicity of the hay in cattle, goats, and mice, followed by a mouse bioassay–guided chemical fractionation process, Salvia reflexa was identified as the contaminant in the hay responsible for the hepatotoxicity. S. reflexa has not been reported previously to cause fatal hepatotoxicity in livestock in North America, to our knowledge. 相似文献
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Wang Dechun Prato Tony Qiu Zeyuan Kitchen Newell R. Sudduth Kenneth A. 《Precision Agriculture》2003,4(1):35-52
Variable Rate Technology (VRT) has the potential to increase crop yields and improve water quality relative to Uniform Rate Technology (URT). The effects on profitability and water quality of adopting VRT for nitrogen (N) and lime were evaluated for corn production on four claypan soil fields in north central Missouri under average to better than average weather conditions. Variable N and lime rates were based on measured topsoil depth and soil pH, respectively. VRT rates were compared to two different uniform N applications (URT-Nl based on the topsoil depth within these claypan soil fields, and URT-N2 based on a typical N rate for corn production in this area). Expected corn yield was predicted based on topsoil depth, soil pH, N rate, and lime rate. Water quality benefits of VRT relative to URT were evaluated based on potential leachable N. Sensitivity analyses were performed using simulated topsoil data for topsoil depth and soil pH. Results showed that VRT was more profitable than URT in the four sample fields under URT-N1, and in two of the four fields under URT-N2. Greater variation in topsoil depth and soil pH resulted in higher profitability and greater water quality benefits with VRT. Results support adoption of VRT for N and lime application for other claypan soil fields with characteristics similar to those in the fields used in this study. 相似文献
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M S Newman R W Cook W K Appelhof H Kitchen 《Journal of the American Veterinary Medical Association》1975,167(7):561-564
Dermatophilosis was diagnosed in 2 of 13 captive polar bears (Thalarctos maritimus), causing generalized dermatitis of 3 years' and 6 months' duration, respectively. Progressive clinical signs included yellowing and darkening of the hair, pruritus, encrustation of skin, and reluctance to bathe. Dramatic resolution of lesions occurred during 8 weeks of twice-weekly intramuscular treatment with long-acting penicillin. 相似文献
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Innovations in precision agriculture (PA) have created opportunities to achieve a greater understanding of within-field variability. However, PA adoption has been hindered by uncertainty about field-specific performance and return on investment. Uncertainty could be better addressed by using innovative analyses that provide insights into variability among fields and across a region. The objectives of this research were to: (1) generate a within-field soil clay-content variability index (VIc), (2) create a regional-scale growing-season precipitation variability index (VIp), and (3) integrate the soil and weather indices with the USDA NRCS soil erosion vulnerability index (SVI) to produce a final index that incorporated both variability and vulnerability (VVI). The interpretation of the outcomes represented by each objective supports unique decisions that land managers may consider for reducing uncertainty about implementing PA. All indices were derived using publically available information for Missouri, USA. The VIc was the ratio between the maximum and minimum clay content within fields. The VIp was calculated as the standard deviation of the total growing-season precipitation from 2006 to 2015. Significant clustering of VIc and VIp were observed along the Missouri River corridor, northeast and northwest Missouri. Fields with high VVI were mostly in the claypan soil region of northeast Missouri, and along a portion of the Missouri River dominated by loess soils on steep slopes. Southeast Missouri displayed the greatest diversity in soil and weather variability, but had low vulnerability. This research could be used as a decision-support tool to aid producers and PA service and product providers in determining where PA opportunities exist. 相似文献
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Pingping Jiang Zhuoqiong He Newell R. Kitchen Kenneth A. Sudduth 《Precision Agriculture》2009,10(2):111-127
Understanding relationships of soil and field topography to crop yield within a field is critical in site-specific management
systems. Challenges for efficiently assessing these relationships include spatially correlated yield data and interrelated
soil and topographic properties. The objective of this analysis was to apply a spatial Bayesian hierarchical model to examine
the effects of soil, topographic and climate variables on corn yield. The model included a mean structure of spatial and temporal
co-variates and an explicit random spatial effect. The spatial co-variates included elevation, slope and apparent soil electrical
conductivity, temporal co-variates included mean maximum daily temperature, mean daily temperature range and cumulative precipitation
in July and August. A conditional auto-regressive (CAR) model was used to model the spatial association in yield. Mapped corn
yield data from 1997, 1999, 2001 and 2003 for a 36-ha Missouri claypan soil field were used in the analysis. The model building
and computation were performed using a free Bayesian modeling software package, WinBUGS. The relationships of co-variates
to corn yield generally agreed with the literature. The CAR model successfully captured the spatial association in yield.
Model standard deviation decreased about 50% with spatial effect accounted for. Further, the approach was able to assess the
effects of temporal climate co-variates on corn yield with a small number of site-years. The spatial Bayesian model appeared
to be a useful tool to gain insights into yield spatial and temporal variability related to soil, topography and growing season
weather conditions.
相似文献
Pingping JiangEmail: |
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Although metabolic disorders are a frequent concern in cattle, they are not commonly recognized in bulls. The combination of hyperglycemia, acetonemia, ketonuria, and glycosuria in a bull was highly suggestive of diabetes mellitus. This uncommon diagnosis was confirmed by results of intravenous glucose tolerance testing. Results of the test and serum insulin values were further able to classify the disease in this bull as type-I diabetes mellitus. 相似文献
10.
Melissa L. Landeen Stanley G. Kitchen Loreen Allphin Steven L. Petersen 《Strength and Conditioning Journal》2019,72(3):515-522
Current methods for determining plant age of shrub species require destructive sampling and annual growth ring analysis on the primary stem. Although individual plant ages can frequently be determined in this manner, the method is time consuming and of limited value for plants that have lost stem wood from stem splitting and rot. Nondestructive methods for estimating big sagebrush (Artemisia tridentata Nutt.) plant age would be useful in assessing stand age structure and population dynamics at variable spatial scales. The purpose of this study was to test a suite of traits for potential use in estimating mountain big sagebrush (Artemisia tridentata ssp. vaseyana [Rydb.] Beetle) age. We evaluated traits including plant height, crown area, subcanopy litter depth, percent crown mortality, bark furrow depth, bark fiber length, circumference and diameter of plant basal stem, and circumference of secondary and tertiary branches. We measured and harvested basal cross-sections from 163 plants of varying sizes from five locations in central and south-central Utah. Plant age was determined from annual growth rings. Linear regression analyses revealed that stem diameter (r2 = 0.507 P < 0.0001) was the most highly correlated variable with plant age across all sites, followed by stem circumference (r2 = 0.474 P < 0.0001), secondary branch circumference (r2 = 0.360, P < 0.0001), tertiary branch circumference (r2 = 0.405, P < 0.0001), and bark fiber length (r2 = 0.373, P < 0.0001). Results support previous findings that stem girth has value for estimating mountain big sagebrush plant age and that this trait is a better indicator of age than any other tested traits. Although the relationship between stem diameter and plant age was significant, substantial stem size variability associated with plants of the same approximate age indicates that the method is most appropriate when precise age estimates are not required. This technique was developed specifically for mountain big sagebrush, but it is expected that it can be adapted for other sagebrush taxa. 相似文献