Forage Quality Research Articles

Orchard grass (Dactylis glomerata L.) yield and nutritive characteristics in response to different cutting regimes in a temperate region

The present study was carried out at the Research Farm of Regional Research Station, ICAR-IGFRI, Rangreth, Srinagar, to evaluate three harvesting stages and three cutting intervals for achieving higher fodder yield and quality in orchard grass (Dactylis glomerata L). Among the harvesting stages, H3 (harvesting at the flowering stage) recorded the highest green (27.04 t/ha) and dry(8.05 t/ha) fodder yield. Among the cutting intervals, CI 3 (cutting at 60-day intervals) recorded higher fresh and dry biomass yield. Fodder yield increased with harvesting at later stages and increased cutting intervals. The highest crude protein content (11.87%), lowest NDF (55.87%) and ADF (31.65%) contents were recorded when grass was harvested at the vegetative stage. Digestible dry matter (DDM) varied significantly with both harvesting stage and cutting interval and was found to be highest with H1 (64.23%) and CI 1 (63.54%). The highest relative feed value (RFV) of 106.92% and highest total digestible nutrients (TDN) of 65.68% were found in the orchard grass cut at the vegetative stage (H1), which was at par with orchard grass harvested first at the booting stage (H2). Harvesting at both vegetative and booting stages resulted in good quality (RFV >103%) and energy-rich (TDN> 65%) forage. Harvesting at the flowering stage resulted in fair quality (RFV 96.67% and TDN 63.65%) fodder.

Research on Enhancing the Yield and Quality of Oat Forage: Optimization of Nitrogen and Organic Fertilizer Management Strategies

In the context of the increasingly serious issues of resource waste, soil degradation, and environmental pollution caused by excessive nitrogen fertilizer application worldwide, this study conducted a two-year field experiment in Qinghai Province to explore suitable nitrogen fertilizer management strategies for the region. Ten fertilization levels were set, incorporating varying ratios of conventional nitrogen fertilizer and organic fertilizer, as well as the proportion of base fertilizer and topdressing. The focus was on monitoring the forage yield, quality, and related physiological indicators of oats during the flowering and milk stages. The use of correlation analysis and the multi-criteria decision-making model TOPSIS was applied for comprehensive data evaluation to determine the optimal fertilization strategy. After systematic data collection and analysis, the results showed that when 75% conventional nitrogen fertilizer was combined with 4500 kg·hm−2 of organic fertilizer (F4), the oat yield during the milking stage reached its peak at 14,722.48 kg·hm−2. Additionally, the yield effect was optimal (13,677.34 kg·hm−2) when using 30% base fertilizer and 70% jointing fertilizer (D2). Regarding nutritional quality, the fertilization strategy combining 75% conventional nitrogen fertilizer with 4500 kg·hm−2 of organic fertilizer, along with 30% base fertilizer and 70% jointing fertilizer (F4D2), significantly reduced the content of acid detergent fiber (ADF), neutral detergent fiber (NDF), and coarse fiber (CF) in oats, while increasing the content of EE (crude fat) and CP (crude protein). This significantly improved the nutritional value of oats. Correlation analysis further revealed the positive effect of fertilization amount and fertilization period on oat yield, as well as a negative correlation with fiber content. Finally, through comprehensive evaluation using the multi-criteria decision-making model TOPSIS, we verified the superiority of the fertilization strategy.

Perbedaan Kepadatan Benih dan Nutrisi Organik terhadap Produktivitas Green Fodder Jagung

Hydroponic green fodder is a method for producing forage for livestock in a short time (approximately 7–8 days) without soil. It can be an alternative source of high–quality forage to increase the productivity of ruminant livestock. This research aims to compare differences in seed density and the addition of organic nutrients in the form of shallot skins to the productivity of maize green fodder. Fodder planting is done using a hydroponic system with an automatic watering system. The variables measured were fresh and dry biomass production, conversion of green fodder to seeds, plant height, and nutrient content in corn seeds and green fodder. The experimental design used was a 3 x 2 completely randomized factorial design with treatment factors in the form of seed density (1,25; 1,5; and 1,75 kg/m2) and organic nutrition (soaking with tap water and soaking with shallot skin). The results showed that the production of fresh biomass, dry biomass, and plant height were significantly different (P<0,05) influenced by seed density. Total fresh and dry biomass increased with increasing seed density (P<0,05). Plant height increases as seed density decreases (P<0,05). Soaking seeds using shallot skins did not have a significant effect on the productivity of corn green fodder. A seed density of 1,5 kg/m2 produces the best productivity in green fodder corn

A Biological Comparison of Three Colletotrichum Species Associated with Alfalfa Anthracnose in Northern China.

Anthracnose caused by various species of Colletotrichum is one of the most prevalent diseases in alfalfa worldwide that not only reduces forage yields but also severely compromises forage quality. A comprehensive survey was conducted in 2020 in the main production regions of northern China. The survey results showed that alfalfa anthracnose is prevalent in northern China, with the disease incidence ranging from 9% to 45% and the disease index from 5 to 17 (maximum possible score: 100). In total, 24 isolates were collected and identified as three Colletotrichum species (C. trifolii, C. truncatum and C. americae-borealis) based on morphological characteristics and phylogenetic analysis (combined sequences ITS, HIS3, ACT and GAPDH). The three species displayed remarkable environmental adaptability, exhibiting a capacity for growth, sporulation and conidial germination in temperatures ranging from 4 to 35 °C and in different nutrient conditions. Pathogenicity assays showed that C. trifolii was more virulent than the other two species, although the growth vigor (in terms of colony diameter, sporulation and conidial germination) of C. truncatum was the greatest.

Pearl millet a promising fodder crop for changing climate: a review.

The agricultural sector faces colossal challenges amid environmental changes and a burgeoning human population. In this context, crops must adapt to evolving climatic conditions while meeting increasing production demands. The dairy industry is anticipated to hold the highest value in the agriculture sector in future. The rise in the livestock population is expected to result in an increased demand for fodder feed. Consequently, it is crucial to seek alternative options, as crops demand fewer resources and are resilient to climate change. Pearl millet offers an apposite key to these bottlenecks, as it is a promising climate resilience crop with significantly low energy, water and carbon footprints compared to other crops. Numerous studies have explored its potential as a fodder crop, revealing promising performance. Despite its capabilities, pearl millet has often been overlooked. To date, few efforts have been made to document molecular aspects of fodder-related traits. However, several QTLs and candidate genes related to forage quality have been identified in other fodder crops, which can be harnessed to enhance the forage quality of pearl millet. Lately, excellent genomic resources have been developed in pearl millet allowing deployment of cutting-edge genomics-assisted breeding for achieving a higher rate of genetic gains. This review would facilitate a deeper understanding of various aspects of fodder pearl millet in retrospect along with the future challenges and their solution. This knowledge may pave the way for designing efficient breeding strategies in pearl millet thereby supporting sustainable agriculture and livestock production in a changing world.

Productivity of less common agricultural crops depending on the sowing dates in the conditions of Transbaikalia

The article presents the results of the study of the influence of sowing dates on the productivity of less common agricultural fodder crops: fodder millet, Sudan grass, spring triticale, Scarlet amaranth and fodder beans. The studies were carried out at the experimental field of the Research Institute of Veterinary Medicine of Eastern Siberia located in the forest-steppe zone of Transbaikalia. The soil of the site is meadow-chernozem mealy-carbonate, light loam by granulometric composition. The studied crops were sown at different dates to determine the degree of influence of the sowing dates on the duration of interphase periods of plant development, their linear growth, foliage and productivity: May 15 and 25, June 15 and 25. The obtained data indicate that by changing the sowing dates it is possible to influence the productivity of the studied crops and the quality of forages made on their basis. The best indicators on fodder productivity and nutritive value were demonstrated by the crops sown on June 15: yield of green mass – 18.9–30.5 t/ha, dry matter – 3.93–5.70 t/ha, yield of fodder units – 3.03–4.67 t/ha, digestible protein content – 306–901 kg/ha, gross energy – 38.12–57.57 GJ/ha, provision of 1 fodder unit with digestible protein – 93–193 g. Crops of fodder beans and Scarlet amaranth had an advantage, characterized by the following indicators: yield of green mass – 29.6–30.5 t/ha, dry matter yield – 5.70–5.95 t/ha, yield of fodder units – 4.20–4.67 t/ha, digestible protein content – 722–901 kg/ha, gross energy – 52.86–57.57 GJ/ha, provision of 1 fodder unit of digestible protein – 172–193 g. Agrocenoses of Poaceae crops (spring triticale, fodder millet, Sudan grass) were inferior in productivity: their green mass yield was 14.4 –18.9 t/ha, dry matter yield – 2.97–3.93 t/ha, yield of fodder units – 2.23–3.03 t/ha, digestible protein content – 207–341 kg/ha, gross energy – 28.51–38.12 GJ/ha, provision of 1 fodder unit with digestible protein – 93–121 g.

Effect of Defoliation on Growth, Yield and Forage Quality in Maize, as a Simulation of the Impact of Fall Armyworm (Spodoptera frugiperda)

This study assesses the impact of defoliation applied to three developmental stages across three cropping seasons from 2021 to 2023 on growth, yield and forage quality in maize. The experimental design included three treatments: defoliation of three expanded leaves at the 3rd–4th leaf stage (DF1), the 5th–6th expanded leaves by leaf punch (DF2) and expanding leaves with the DF2 treatment (DF3) at the 6th–7th leaf stages, compared with no defoliation (control). Over three years, the most significant decrease in dry matter (DM) yield occurred in DF1 during spring sowing, while in summer sowing, the largest reduction was in DF3, both of which were correlated with changes in the number of grains per ear. The DM yields at harvest were positively correlated with plant leaf areas at the silking stage. The digestibility of forage in in vitro DM decreased concomitantly with an increase in acid detergent fiber content, indicating a decrease in forage quality. Given the frequent severe damage observed in summer sown maize and the detrimental effects of early growth stage leaf feeding on quality and quantity of spring sown maize, the application of registered insecticides is advised to reduce pest damage to maize crops.

The LTAR Common Experiment at Upper Chesapeake Bay: Integrated.

Corn (Zea mays) crops harvested as grain in autumn do not provide opportunity for cover crop establishment, which may be remedied by interseeding cover crops into growing corn. Grazing cover crops after corn grain harvest could provide added revenues and increase nutrient cycling in the system while providing additional ecosystem services. However, tradeoffs between cash crop productivity and cover crop inclusion, and use as grazed forage, are not fully understood. This 4-year Long-Term Agroecosystem Research Integrated Common Experiment project evaluated the effect of interseeding cereal rye (Secale cereale) into corn for grazing after corn grain harvest on corn grain yield and late-season grazing. Cereal rye was interseeded into corn in early June. After corn grain harvest, six paddocks at each location were randomly allotted to grazed (GRAZ) or not grazed (NG). The GRAZ paddocks were grazed with beef cattle in late autumn and again in early spring if regrowth allowed. Paddocks were flown with an unmanned aerial system (UAS) to characterize spatial forage yield and quality. Cereal rye provided an additional 20-30 grazing days in the autumn for 24 beef cows on 4.8ha. Early spring growth shows potential to provide even greater forage yields than autumn, but growth is less dependable. Corn grain yields did not decrease except in 2019 (dry year) when yields were 40% lower. There were no significant differences in soil health indicators between GRAZ and NG paddocks. The UAS shows promise as a tool for monitoring forage yield and quality and optimizing grazing management.

Maximizing food equivalent unit yield for forage maize production without notably compromising dry matter yield and feed quality in a semi-arid region

Food equivalent unit (FEU) is a vector used to measure the value of food based on its calorie and protein content and their digestibility. However, the optimal planting density and N application rate for maximizing the FEU yield (FEUY) of forage maize (Zea mays L.) is still poorly understood in the fast-growing animal husbandry regions of the Chinese Loess Plateau. Here, a 2-year consecutive field experiment was conducted to explore the impacts of planting density, N application rate, and their interactions on growth, dry matter yield (DMY), forage quality, and FEUY of a dominant forage maize cultivar. Planting density significantly affected the stem diameter, LAI, DMY, and dry matter allocation (DMA) of the leaf. Initially, increasing the N rate increased the stem diameter, LAI, FEUY, and DMY of forage maize and then decreased. The stem diameter, LAI, FEUY and above-ground DMY peaked under 180 kg∙ha−1 N in both years. Moreover, N application significantly increased the crude protein content of the whole plant and decreased the acid detergent fiber content. The surface fittings of the 2-year study indicated that 110,000 plants∙ha−1 (plant density) and 171.2 kg∙ha−1 (N rate) obtained the greatest DMY (19.0 t∙ha−1). The grade index (a comprehensive evaluation index for forage quality) peaked at 15.4 MJ∙d−1 under 94,000 plants ha−1 and 270 kg∙ha−1. The 110,000 plants∙ha−1 plant density and 181.5 kg∙ha−1 N rate jointly maximized the FEUY (11,125.4 FEU∙ha−1), maintaining 99.9 % of the maximum DMY and 97.5 % of the maximum grade index. Thus, 110,000 plants∙ha−1 plant density and 181.5 kg∙ha−1 N rate are recommended for high-productivity forage maize production, without notably compromising dry matter yield and feed quality. This research is conducive to advancing the coordinated development of forage crop cultivation and herbivorous livestock farming in semi-arid rainfed areas.

Temporal-spatial variability of grazing behaviors of yaks and the drivers of their intake on the eastern Qinghai-Tibetan Plateau.

Grassland-livestock balance is an important principle of sustainable development of grassland livestock production and grassland ecosystem health. Grassland degradation becomes more serious at global scales and especially at the area that is sensitive to climate change and human activities. Decreases in pasture biomass and shifts in plant community composition in degraded grasslands can largely affect grazing behaviors of livestock. Up to date, however, it is unclear that whether livestock behaviors change across spatial and temporal scales and what key factors are to shape observed behavioral patterns of livestock. Here, yak behaviors including grazing, rumination and walking on the eastern Qinghai-Tibetan Plateau (QTP) were monitored by a continuous visual observation, to investigate temporal and spatial variations of grazing behavior of yaks (Bos grunniens); based on the data from public database in the past 18 years, a meta-analysis was conducted to examine the main factors that affect grazing behaviors and intake of yaks. We showed that grazing behaviors of yaks differed significantly within hours, among hours of each day and among days as well as across different observation sites. Intake rate of yaks was higher in the morning than in the afternoon, but walking speed showed an inverse trend compared with intake rate. Resting, altitude, the mean annual precipitation (MAP), the mean annual temperature (MAT), forage ash, yak age and season were the main predictors for yak intake, and forage and yak individual characteristics had direct effects on grazing behaviors and intake of yaks. The findings confirm that grazing behaviors of yaks can vary even at small temporal scales and regional scales, which is closely related to the shift in forage quality and biomass caused by environmental changes. The study suggests that multiple factors can be responsible for the variation in livestock behaviors and shifts in behavioral patterns may consequently lead to positive or negative feedback to grassland ecosystems through plant-animal interactions.

Potential of teff as alternative crop for Mediterranean farming systems: Effect of genotype and mowing time on forage yield and quality

The introduction of alternative/innovative crops in the current Mediterranean cropping systems is a promising strategy to cope with climate change effects, which are threatening the food and feed security of that geographic area. Thanks to its large environmental adaptability and good nutritive value for humans (grains) and animals (biomass), teff is an excellent candidate to perform its role as alternative plant species for cereal/forage farming systems. However, the adoption of a “new” crop requires information about the adaptation to the target environment as well as details on the best management practices to apply. Very little knowledge is available regarding the performance of teff under Mediterranean climatic conditions. The aim of this study was to assess the effect of genotype and mowing time on the biomass yield (dry matter, DM) and proximate composition of teff (including the first regrowth). Grain yield potential was also evaluated. The study was carried out during two consecutive years in central Italy. Two different experiments were conducted in adjacent fields to gain information on both forage and grain potential of the crop. In both trials, six teff genotypes were used (namely T6, T7, T8, T11, T13 and T14). Plant height, forage yield and quality were assessed in different growth stages: flag leaf completely unrolled, booting, and heading. The regrowth of the first cut mowed at booting stage was also evaluated. Our study demonstrated that teff has potential as forage and grain crop under Mediterranean climatic conditions. Considering the total biomass production, teff genotypes yielded from 7 t DM ha−1 to 11 t DM ha−1. If used as feed source, the best harvesting time is heading (GS: 57) since it allows to maximize both biomass yield and crude protein (CP) content. The teff accessions which deserve to be deeply explored as forage types were T8 and T14 (5–6 t DM ha−1, with 150–160 g CP kg−1 DM), while T6, T7 and T13 were good grain producers (0.8–1.2 t ha−1).

Effect of different Nitrogen Levels on Yield and Quality of Forage Sorghum (Sorghum bicolor L. Moench cv. Abusabien)

The present study was conducted at the Experimental Farm of the Department of Crop Science, Faculty of Natural and Environmental Studies, University of Kordofan, Elobeid, Sudan. To evaluate the effect of different nitrogen fertilizer levels on growth, yield and quality of Sorghum forage (Sorghum bicolor L. Moench. cv Abusabien). The treatments consisted of four levels of nitrogen: control, 43, 86 and 120 kg N/ha (0N, 1N, 2N and 3N). The treatments were arranged in a Randomized Complete Block Design (RCBD) with five replications. The parameters measured were: plant population, plant height (cm), number of leaves/plant, fresh weight (ton/ha), dry weight (ton/ha), crude protein (%) content, fat (%) content, fiber (%) content, ash (%) content and carbohydrates (%) content. the results revealed that there were significant differences among the treatments in most characters under study. Nitrogen fertilizer resulted in an increase in growth attributes as well as forage yield. Nitrogen fertilizer dose (120 kg N/ha) produced higher fresh and dry forage at harvest compared to the other treatments. Also the results showed that nitrogen fertilizer significantly increased the percentage (%) content of crude protein, fat, ash and carbohydrates while decreased fiber percentage (%) concentration compared to the control. The treatment 120 kg N/ha (3N) had highest values of protein (13.68), fat (2.04), ash (12.18) (%) content, while the lowest values (9.73, 1.32 and 10.07) % content respectively, were obtained in the control. Then, based on these findings we recommended that to obtain high growth, forage yield and quality from sorghum forage Abu-Sabeen, nitrogen at the level of (120 kg/ha ) should be applied.

Factors limiting the potential range expansion of lodgepole pine in Interior Alaska.

Understanding the factors influencing species range limits is increasingly crucial in anticipating migrations due to human-caused climate change. In the boreal biome, ongoing climate change and the associated increases in the rate, size, and severity of disturbances may alter the distributions of boreal tree species. Notably, Interior Alaska lacks native pine, a biogeographical anomaly that carries implications for ecosystem structure and function. The current range of lodgepole pine (Pinus contorta var. latifolia) in the adjacent Yukon Territory may expand into Interior Alaska, particularly with human assistance. Evaluating the potential for pine expansion in Alaska requires testing constraints on range limits such as dispersal limitations, environmental tolerance limits, and positive or negative biotic interactions. In this study, we used field experiments with pine seeds and transplanted seedlings, complemented by model simulations, to assess the abiotic and biotic factors influencing lodgepole pine seedling establishment and growth after fire in Interior Alaska. We found that pine could successfully recruit, survive, grow, and reproduce across our broadly distributed network of experimental sites. Our results show that both mammalian herbivory and competition from native tree species are unlikely to constrain pine growth and that environmental conditions commonly found in Interior Alaska fall well within the tolerance limits for pine. If dispersal constraints are released, lodgepole pine could have a geographically expansive range in Alaska, and once established, its growth is sufficient to support pine-dominated stands. Given the impacts of lodgepole pine on ecosystem processes such as increases in timber production, carbon sequestration, landscape flammability, and reduced forage quality, natural or human-assisted migration of this species is likely to substantially alter responses of Alaskan forest ecosystems to climate change.

Productivity of elephant grass pakchong (Pennisetum purpureum cv Pakchong) and elephant grass taiwan (Pennisetum purpureum cv Taiwan) cultivated based on different stem cutting sizes

Abstract In Indonesia, elephant grass seeds used by farmers are in the form of cuttings or vegetative material. Currently, there is no standard for the cuttings used to produce high-productivity elephant grass. Therefore, research was conducted to determine the optimal size of cuttings for achieving good elephant grass productivity. The study was conducted in the field station area of Rancamaya, Bogor. A factorial group randomized design with 5 replications was employed for the research. The first factor was the type of elephant grass, consisting of 1) Pakchong and 2) Taiwan, while the second factor was the size of the cuttings, consisting of 1) 5 cm long cuttings, one node, 2) 10 cm long cuttings, one node, 3) 15 cm long cuttings, one node, and 4) control (two nodes as per usual farmer practice). The research results indicated that there was an interaction between the type of elephant grass and the size of cuttings for leaf length, fresh and dry leaf weight, dry stem weight, and total dry weight. The 5 cm cuttings of Pakchong had the highest fresh and dry leaf weights (P<0.05). The highest dry stem and total weight were obtained with the control size cuttings of Pakchong. The number of tillers was influenced by the size of cuttings, with the control size cuttings having the highest number of tillers, although not significantly different from the number of tillers for the 5 cm and 15 cm cuttings. The highest total fresh weight was obtained with the 5 cm cuttings and Pakchong. This study indicates that 5 cm cuttings can be used as cutting material to produce Pakchong and Taiwan with optimal forage production. Further research is needed to assess the forage quality.

Effects of Nitrogen Sources on Primary and Secondary Production from Annual Temperate and Tropical Pastures in Southern Brazil

Improvements in nitrogen use efficiency can be achieved through fertilizer management strategies that capitalize on nutrient synergies. However, limited research on synergies between nitrogen, sulfur, and calcium complicates understanding causal links and developing sustainable management. In this regard, the effects of different nitrogen sources on productivity and nitrogen use efficiency in Italian ryegrass (Lolium multiflorum Lam.) and pearl millet (Pennisetum glaucum (L.)), along with their impacts on forage quality and secondary production, were investigated. Treatments included: Urea (46% N), ammonium nitrate (NH4NO3; 32% N), ammonium nitrate supplemented with calcium and sulfur (NH4NO3 (+), 27% N + 5% Ca + 3.7% S), and control treatment with no N application. The application of fertilizers that combine nitrogen with calcium and sulfur enhances primary production in both winter and summer pastures. Fertilization with NH4NO3 (+) increased nitrogen use efficiency by 125% in Italian ryegrass compared to NH4NO3. However, within the framework of rotatinuous grazing management principles, optimizing plant nitrogen use efficiency does not necessarily lead to a better forage quality or animal performance. These findings highlight that using fertilizers that promote synergies among nutrients, such as the combination of nitrogen with calcium and sulfur, can bring benefits to the sustainability of pasture-based livestock production systems.

Farm-specific estimates of forage variability result in larger optimal control limits for forage quality monitoring

Variation in forage composition decreases the accuracy of diets delivered to dairy cows. However, variability of forages can be managed using a renewal reward model (RRM) and genetic algorithm (GA) to optimize sampling and monitoring practices for farm conditions. Specifically, use of quality-control-charts to monitor forage composition can identify changes in composition for which adjustment in the formulated diet will result in a better match of the nutrients delivered to cows. The objectives of this study were 1) assess the use of a clustering algorithm to estimate the mean time the process is stable or in-control (d) (TStable) and the magnitude of the change in forage composition between stable periods (ΔForage) for corn silage and alfalfa-grass silage which are input parameters for the RRM; 2) compare optimized farm-specific sampling practices (number of samples (n), sampling interval (TSample) and control limits (ΔLimit) using previously proposed defaults and our estimates for the TStable and ΔForage input parameters; and 3) conduct a simulation study to compare the number of recommended diet changes costs of quality control under the proposed sampling and monitoring protocols. We estimated the TStable and ΔForage parameters for corn silage NDF and starch and alfalfa-grass silage NDF and CP using a k-means clustering approach applied to forage samples collected from 8 farms, 3x/week during a 16-week period. We compared 4 sampling and monitoring protocols that resulted from the 2 methods for estimating TStable and ΔForage (default values and our proposed method) and either optimizing only the control limit (Optim1) or optimizing the control limits, the number of samples, and the number of days between sampling (Optim2). We simulated the outcomes of implementing the optimized monitoring protocols using a quality control chart for corn silage and alfalfa-grass silage of each farm. Estimates of T^Stable and Δ^Forage from the k-means clustering analysis were, respectively, shorter and larger than previously proposed default values. In the simulated quality control monitoring, larger Δ^Forage estimates increased the optimized ΔLimit resulting in fewer detected shifts in composition of forages and a lower frequency of false alarms and a lower quality control cost ($/d). Recommended diet reformulation intervals from the simulated quality control analysis were specific for the type of forage and farm management practices. The median of the diet reformulation intervals for all farms using our optimal protocols was 14 d (Q1 = 8, Q3 = 26) for corn silage and 16 d (Q1 = 8, Q3 = 26) for alfalfa-grass silage.

Equine relative preferences regarding selected cool-season grass hays

Horse preferences for cool season grass cultivars under grazing has been described. However, preference for cool-season grass cultivars as hays has not been widely evaluated in horses, particularly the new varieties of Tall Fescue with novel endophytes designed to produce less ergovaline, the compound to which fescue toxicosis is attributed. First cutting hay was harvested in 2019 and 2020 from seven cool season grasses: Tall Fescue v. KY 31; Tall Fescue v. Bronson, endophyte free; Tall Fescue v. Texoma MaxQ, novel/non-toxic endophyte; Meadow Fescue v. Preval; Festulolium v. Spring Green; Perennial Ryegrass v. Elgon; and Orchardgrass v. Crown Royal. First cutting yield was determined on a dry weight basis. Sub-samples were analyzed for forage quality parameters and ergovaline concentrations. The effect of cultivar on mean hay yields was analyzed using a one-way ANOVA, and since the F-Value was significant (< 0.001) the least significant differences were further determined to compare yield differences among the cultivars. All three Tall Fescue cultivars, Meadow Fescue, and Festulolium had significantly greater yields than the Perennial Ryegrass and Orchardgrass (P < 0.05). All samples tested for ergovaline were below the reporting threshold of the laboratory. Subsequently, tillers of the Tall Fescue cultivars were evaluated for endophyte presence. Endophyte was detected in only 3.3 % and 16.7 % of v Bronson and Texoma MaxQ tillers, respectively. No endophyte was detected in v KY 31. To evaluate preference four mature idle horses (6 ± 1.08 yrs) were fasted 30 min prior to being in the test stalls for 30 min. First choice and weight consumed were recorded. Preference testing occurred within harvest year. Equine preference data were analyzed within year using a one-way ANOVA pairwise comparison with the Tukey-Kramer adjustment for multiple comparisons. Both forward and backward stepwise regression modelling were used to investigate proximate analyses values as potential predictors of cultivar consumption by the horses during the preference tests. The best performing model explained 36 % of the variation in cultivar consumption. Based on amounts consumed horses had similar preferences each year; the overall rank of the cultivars was very similar with only the two least preferred cultivars transposed from 2019 to 2020. Horses most preferred the lowest yielding cultivars (Perennial Ryegrass and Orchardgrass). Despite low ergovaline and endophyte content in the Tall Fescue varieties, adult horses preferred hay of other cultivars. Festulolium is an option for hay producers that balances both yield and horse preference.

Hyperspectral remote sensing of forage stoichiometric ratios in the senescent stage of alpine grasslands

Senescence is an important phenological stage in the life cycle of grassland plants, and estimating grass senescence in alpine grasslands is particularly crucial for animal husbandry and grazing the utilization of grassland resources for grazing. However, the application of proximal sensing technologies to capture the variations in forage growth parameters in the senescent stage, especially regarding some key stoichiometric ratios, still faces challenges associated with indiscernible spectral properties and indeterminate absorption and reflectance features. The present study aims to demonstrate the potential and effectiveness of applying hyperspectral data to assess the forage carbon-nitrogen (C:N) ratio and calcium-phosphorus (Ca:P) ratio during the senescent stage (September to November). A progressive variable dimensionality reduction strategy based on a genetic algorithm (GA) and hybrid optimization method (ant optimization colony (ACO) and extreme learning machine (ELM)) coupled with multiple linear and nonlinear statistical methods is applied to develop C:N ratio and Ca:P ratio estimation models via combination with data from 205 sample sites collected from six field campaigns (2016–2019) on the eastern Tibetan Plateau. The results show that the important spectral bands favorable for forage C:N ratio and Ca:P ratio retrieval are generally in the red and shortwave infrared (SWIR) regions, and the proposed model presents satisfactory performance in the estimation of the forage C:N ratio (V-R2 = 0.81, V-RMSE = 6.44) and Ca:P ratio (V-R2 = 0.64, V-RMSE = 2.54) during senescence. Moreover, the model can effectively overcome the spatial differences among sampling areas and perform optimally in capturing the variations in the forage C:N ratio and Ca:P ratio in the early and middle stages of senescence. Overall, our study demonstrates that it is feasible and promising to estimate these stoichiometric ratios using hyperspectral feature bands during grass senescence at the canopy level, with potential applications that may further enhance the monitoring of forage quality and quantity.

Initial Evaluation of the Merit of Guar as a Dairy Forage Replacement Crop during Drought-Induced Water Restrictions

Dairy is the largest sector of the agricultural industry in New Mexico, but the sector’s need for high quality forage in the face of ongoing drought and climate change causes concern. The economic merit of using guar to replace alfalfa under imposed constraints in irrigation water availability is evaluated. Nutritional quality of guar (Cyamopsis tetragonoloba L.) grown at the NMSU Agricultural Science Center at Clovis was estimated using Near Infrared Spectroscopy (NIRS) analysis. Results show that 45.6 percent of analyzed samples were comparable to Supreme or Premium alfalfa (Medicago sativa) hay using Relative Feed Value index, and 23.7% met this criteria using crude protein. While alfalfa uses 4.4 acre-feet of water (approximately 5400 cubic meters) per season, the guar sampled used 5 inches (500 cubic meters) of applied irrigation. Microsoft Excel Version 2404 LP Solver was used to identify an optimum crop mix of alfalfa and guar under different levels of irrigation water constraints. With increasing levels in modeled irrigation restrictions, the use of guar increased the potential forage production by 3% under a 0.4 acre-foot restriction up to almost 59% under a 1.5 acre-feet irrigation water limit. Our results merit additional research, including forage trials to determine the impact of guar forage on milk production and further agronomic research into growing guar to maximize forage yield.

Deer in the agriculture-forest matrix: Interacting effects of land uses on browsing pressure on trees

Cervids inhabit mosaic landscapes that are strongly influenced by human land use and actions. Forestry and agriculture influence both the foodscape and the risk landscape, thus influencing how cervids respond to resource-risk trade-offs. Furthermore, these land use types interact to shape cervid use of the landscape. For example, cervids can forage in open agricultural fields providing high quality forage during the night, while using nearby forest patches to reduce risk during the day. Hence, actions conducted in one of these land use types will likely influence the use of the other by cervids. In this study, we investigate how agricultural and silvicultural practices interact to shape cervid use of the forest and their impact on commercially valuable trees. More specifically, we investigate the effect of growing nutrient dense crops in mixed forest-agriculture landscapes. We hypothesized that the sowing of such crops may not only attract cervids to the agricultural parts of the landscape, but also lead to increased browsing levels in adjacent forest areas where cervids seek cover. Moreover, such high quality crops may not only influence the number of animals, but also increase the intake rate of fibrous tree saplings of individual cervids to nutritionally balance the high input of easily-digestible macronutrients from the crops. We tested these ideas by conducting a large landscape-scale experiment where we manipulated the foodscape by growing two crop types on 28 fields (14 fields with high-quality oat versus 14 fields with lower-quality grass) and measuring cervid use of tree saplings in the forest patches adjacent these fields. We also investigated how forage availability in the forest patches and the distance from field edge affected browsing on tree saplings. Finally, we compared the effects of crop type and forest forage availability on the browsing pressure on coniferous versus deciduous tree species. We studied this in a multispecies ungulate system, where four cervid species occur sympatrically. We show that the type of crop sown influenced browsing pressure on tree saplings in nearby forests, with higher browsing levels in forests surrounding oat compared to grass fields. Moreover, browsing pressure in these forests was influenced by the availability of young trees in the forest stands, where more young trees led to reduced browsing pressure on individual saplings. Our study emphasizes that human practices that shape features of the foodscape in one land use type will influence the impact cervids have in another land use type. Hence, our study highlights the importance of considering the actions and impacts of different land uses simultaneously for predicting cervid foraging patterns in mixed forest-agriculture landscapes.