Evaluation Of Forage Quality Indicators Using Multivariate Methods (Case Study: Rangelands Of Karsanak, Chaharmahal Va Bakhtiari Province),
2020
University of Tehran, Iran
Evaluation Of Forage Quality Indicators Using Multivariate Methods (Case Study: Rangelands Of Karsanak, Chaharmahal Va Bakhtiari Province), Hassan Yeganeh, Hossein Arzani, Javad Motamedi, Hamze Ali Shirmardi, Ehsan Zandi Esfahan
IGC Proceedings (1977-2023)
In most studies on forage quality, the rank of species and the interaction effect between species and time (grazing months) has not been analyzed for forage quality (Meshkani 1986). An additive main effect and multiplicative interaction (AMMI) model is able to analyse the interaction of species in the environment. Studies on stability of forage production have been carried out using the AMMI model (Farshadfar et al. 2010).
The objective of the current research was to determine the forage quality indicators of range species through AMMI models in semi-steppe rangelands of Karsanak area of Iran.
Effect Of Enclosure And Open Grazing On Diet Selection, Relative Preference Index And Voluntary Intake By Sheep At El-Khuwei Locality North Kordofan State Sudan,
2020
Sudan University of Science and Technology, Sudan
Effect Of Enclosure And Open Grazing On Diet Selection, Relative Preference Index And Voluntary Intake By Sheep At El-Khuwei Locality North Kordofan State Sudan, Mohammed Abdelkreim, Babo Fadlalla
IGC Proceedings (1977-2023)
The nutritive value of a pasture depends mainly on its in-take and the selection animals exert in consuming the different species or the various parts of a determined plant (Mayes and Dove 2000). Animal production in North Kordofan State is mainly traditional depending on natural rangeland (Cook and Fadlalla 1987; DHP 1998). The State is rich in animal and range resources. It contains more than 13 million head of sheep, goats, camels and cattle (IFAD 2011).
The study aims to provide information that contributes to a better understanding of the plant-animal inter-actions through knowledge of diet botanical composition, forage biomass …
Nutrition Diet Of Grazing Sheep And Forage Supply On Natural Grassland,
2020
China Agricultural University, China
Nutrition Diet Of Grazing Sheep And Forage Supply On Natural Grassland, Guomei Yin, Yingjun Zhang, Yongzhi Liu, Zhijun Wei, Heping Zhao
IGC Proceedings (1977-2023)
Forages are a major asset of any livestock operation and the foundation of most rations in a forage-based livestock system. The available nutrients in a forage influence individual animal production (e.g. gain per animal), while the amount of forage produced affects production per hectare. The relationship between voluntary food intake and animal productivity is well recognized. Many studies related to the regulation of food consumption by sheep and cattle have been reported (Provenza 1996). Willoughby (1958) dis-cussed a number of factors which might influence the herbage intake of grazing animals. By contrast, less attention has been given to …
Potential Of Near-Infrared Reflectance Spectroscopy (Nirs) To Predict Nutrient Composition Of Bromus Tomentellus,
2020
University of Tehran, Iran
Potential Of Near-Infrared Reflectance Spectroscopy (Nirs) To Predict Nutrient Composition Of Bromus Tomentellus, Hossein Arzani, Anvar Sour, Javad Motamedi
IGC Proceedings (1977-2023)
Near-infrared reflectance spectroscopy (NIRS) was used to analyse the nitrogen (N), acid detergent fiber (ADF), dry matter digestibility (DMD) and metabolizable energy (ME) content of three phenological stages (vegetative, flowering and seeding) of Bromus tomentellus samples in grazing pastures of Iran. The sample set consisted of 40 samples for calibration and 23 samples for validation was used to predict N, ADF, DMD and ME, separately. The samples were measured by reflectance NIR in a 950-1650 nm range. Calibration models between chemical data and NIR spectra were produced using the method of partial least squares (PLS). The coefficients of determination (R2) …
Trace Element Imbalance In Vegetation As A Threat To Free Ranging Cattle In The Gilgel Gibe Valley, Ethiopia,
2020
Ghent University, Belgium
Trace Element Imbalance In Vegetation As A Threat To Free Ranging Cattle In The Gilgel Gibe Valley, Ethiopia, Thomas Van Hecke, Veronique Dermauw, Kechero Yisehak, Gijs Du Laing, Luc Duchateau, Geert P. J. Janssens
IGC Proceedings (1977-2023)
As in many tropical countries, natural pastures are the main source of nutrients for cattle in Ethiopia. However, there is limited information available with regard to trace element concentrations in Ethiopian forages. In this study, 58 plants were sampled in the Gilgel Gibe valley based on the observed ingestion by zebu cattle (Bos indicus) herds, grazing at different elevation and soil types, and analysed for copper (Cu), cobalt (Co), iron (Fe), molybdenum (Mo), manganese (Mn), sulfur (S), selenium (Se) and zinc (Zn). The effect of elevation, soil type and plant type on the above trace element concentrations was …
Variations An Α-Tocopherol And Β-Carotene Concentrations In Forage Legumes And Grasses Harvested At Different Sites And Maturity Stages,
2020
Swedish University of Agricultural Sciences, Sweden
Variations An Α-Tocopherol And Β-Carotene Concentrations In Forage Legumes And Grasses Harvested At Different Sites And Maturity Stages, Elisabet Nadeau, Hanna Lindqvist, Søren Krogh Jensen, Nilla Nilsdotter-Linde, Anne-Maj Gustavsson
IGC Proceedings (1977-2023)
Forage is a major source of natural α-tocopherol and β-carotene for dairy cows. This study examined vitamin concentrations of birdsfoot trefoil (Bft), red clover (Rc), timothy (Ti) and meadow fescue (Mf) at different sites, years and cutting dates. Mixtures of Bft+Ti, Rc+Ti and Rc+Mf were established at Skara (58°21’N; 13°08’E) and Umeå (63°45’N; 20°17’E) in Sweden. First-year leys were cut on three occasions in spring (Umeå 2005, Skara 2005 and 2007); one week before heading of timothy, at heading and one week after heading. Birdsfoot trefoil had higher α-tocopherol concentration at Skara than at Umeå in the first two cuts …
Comparing Drying Protocols For Perennial Ryegrass Samples In Preparation For Chemical Analysis,
2020
Teagasc, Ireland
Comparing Drying Protocols For Perennial Ryegrass Samples In Preparation For Chemical Analysis, Marion Beecher, Deirdre Hennessy, Tommy M. Boland, Michael O’Donovan, Eva Lewis
IGC Proceedings (1977-2023)
Diet formulation for animals requires accurate estimation of feed nutritive value. In order to determine the nutritive value of grass, the moisture in the samples must be removed, with minimum damage to cell structure, and then the dried samples milled, prior to chemical analysis. Generally samples are oven dried. The aim of this study was to verify if differing drying protocols gave diverging results when drying grass samples. The drying protocols investigated were 40°C for 48 hours, 60°C for 48 hours and 95°C for 15 hours in forced convection ovens. Four perennial ryegrass samples were cut to 4 cm from …
Remote Sensing Of Pasture Quality,
2020
Massey University, New Zealand
Remote Sensing Of Pasture Quality, Reddy R. Pullanagari, Robyn A. Dynes, Warren M. King, Ian Yule, Susanne Thulin, Nichola M. Knox, Abel Ramoelo
IGC Proceedings (1977-2023)
Worldwide, farming systems are undergoing significant changes due to economic, environmental and social drivers. Agribusinesses must increasingly deliver products specified in terms of safety, health and quality. Increasing constraints are being placed on them by the market, the community and by government to achieve a financial benefit within social and environmental limits (Dynes et al. 2003).
In order to meet these goals, producers must know the quantity and quality of the inputs into their feeding systems, be able to reliably predict the products and by-products being generated, and have the skills to be able to manage their business accordingly. …
Infrastructure To Improve Beef Business Outcomes In The Queensland Gulf,
2020
Department of Agriculture Fisheries and Forestry, Australia
Infrastructure To Improve Beef Business Outcomes In The Queensland Gulf, Kiri C. Broad, Bernie H. English, Rebecca A. Gunther, Emma S. Hegarty, Joe W. Rolfe, Steven G. Bray
IGC Proceedings (1977-2023)
There are significant economic and environmental issues impacting on the short and long term viability of family-run breeding enterprises in the Queensland Gulf. Falling cattle prices and increased business costs threaten the social and financial well-being of many beef producers. Set stocking and overgrazing combine to reduce native 3P (productive, palatable and perennial) grass frequency and herd productivity. The Ryan family on Greenhills Station at George-town in the Queensland Gulf embarked on a 5 year water and fencing infrastructure development program aiming to improve pasture utilisation, land condition and long term carrying capacity.
A Technique For Measurement Of Cattle Form Using A Trail 3d Digital Camera,
2020
National Institute of Livestock and Grassland Science, Japan
A Technique For Measurement Of Cattle Form Using A Trail 3d Digital Camera, Tamaki Kida, Shigeki Tejima, Toshitaka Uchino, Fumihiko Tanaka
IGC Proceedings (1977-2023)
Measurement of weight and form are important for the management of grazing cattle; however, form measurement is seldom carried out. Recently, use of 3D digital cameras has been increasing, and 3D-technology for reconstruction of 3D pictures has been developed. The measurement of withers and hip height of cattle from 3D pictures using the image-analysis technique has been reported (Kida et al. 2012). However, time and effort are required to obtain 3D images of grazing cattle in pastures.
Here, we examined an automatic photographic technique using a sensor camera.
Modelling Complex Sheep Systems Using Ausfarm,
2020
Charles Sturt University, Australia
Modelling Complex Sheep Systems Using Ausfarm, Susan M. Robertson, Michael A. Friend
IGC Proceedings (1977-2023)
Simulation modelling can be a valuable method for extrapolating experimental findings to different weather or management conditions. However, most of the decision support tools which are available for sheep grazing systems, for example GrassGro® (Donnelly et al. 1997), are limited to modelling of relatively simple sheep management. This makes validation of simulations against experimental results difficult where management changes from year to year, and where more complex sheep management is used. This study evaluated the use of the AusFarm® decision support tool (Moore et al. 2007) to model a split-joined sheep system, using different ram breeds against experimental …
Does Targeted Short-Term Grazing Of Lucerne Increase Twinning Rates In Unsynchronised Merino Ewes?,
2020
Charles Sturt University, Australia
Does Targeted Short-Term Grazing Of Lucerne Increase Twinning Rates In Unsynchronised Merino Ewes?, Jessica M. Rummery, Susan M. Robertson, Belinda J. King, Michael A. Friend
IGC Proceedings (1977-2023)
Reproduction is one of the key profit drivers in the sheep industry and increased reproductive output is needed to address the decline in sheep numbers in Australia to maintain supply to export markets (Curtis 2009). Increased nutrition around mating, or ‘flushing’, is a well-known means of increasing twinning rates. Studies using synchronisation methods have shown that short-term (acute) supplementation can increase prolificacy if targeted at days 9-14 of the oestrous cycle (Stewart and Oldham 1986). However, synchronisation involves increased chemical and labour costs, so may not suit extensive production systems. This study aimed to test whether an increase in twinning …
Evaluating Rangeland's Grazing Capacity For Livestock And Wild Herbivores Using The Delta Diet Tool And Gis Technology,
2020
EMBRAPA, Brazil
Evaluating Rangeland's Grazing Capacity For Livestock And Wild Herbivores Using The Delta Diet Tool And Gis Technology, Sandra A. Santos, Arnaud L. J. Desbiez, Humberto L. Perotto-Baldivieso, Juliana M. Alvarez
IGC Proceedings (1977-2023)
Rangelands are dynamic and complex systems requiring appropriate adaptive decision-making to calculate grazing capacity integrating livestock and herbivore wildlife. This work describes the development and application of an integrated framework using the microhistological analysis (DeltaDiet tool) to identify key forage used by different herbivores from the same area associated with GIS technology to mapping landscape containing forage productivity and quality information. This study was conducted in a management unit, representative of the Nhecolândia sub-region landscape, Pantanal. During the dry period, representative fecal samples were collected from cows, capybaras and deer grazing in the same management unit for diet analysis, using …
Soybean Nodule-Associated Non-Rhizobial Bacteria Inhibit Plant Pathogens And Induce Growth Promotion In Tomato,
2020
University of Nebraska-Lincoln
Soybean Nodule-Associated Non-Rhizobial Bacteria Inhibit Plant Pathogens And Induce Growth Promotion In Tomato, Serkan Tokgöz, Dilip K. Lakshman, Mahmoud H. Ghozlan, Hasan Pinar, Daniel P. Roberts, Amitava Mitra
Department of Plant Pathology: Faculty Publications
The root nodules are a unique environment formed on legume roots through a highly specific symbiotic relationship between leguminous plants and nodule-inducing bacteria. Previously, Rhizobia were presumed to be the only group of bacteria residing within nodules. However, recent studies discovered diverse groups of bacteria within the legume nodules. In this report soybean nodule-associated bacteria were studied in an effort to identify beneficial bacteria for plant disease control and growth promotion. Analysis of surface-sterilized single nodules showed bacterial diversity of the nodule microbiome. Five hundred non-rhizobial colonies from 10 nodules, 50 colonies per nodule, were tested individually against the tomato …
Semantic Segmentation Of Sorghum Using Hyperspectral Data Identifies Genetic Associations,
2020
University of Nebraska - Lincoln
Semantic Segmentation Of Sorghum Using Hyperspectral Data Identifies Genetic Associations, Chenyong Miao, Alejandro Pages, Zheng Xu, Eric Rodene, Jinliang Yang, James C. Schnable
Center for Plant Science Innovation: Faculty Publications
This study describes the evaluation of a range of approaches to semantic segmentation of hyperspectral images of sorghum plants, classifying each pixel as either nonplant or belonging to one of the three organ types (leaf, stalk, panicle). While many current methods for segmentation focus on separating plant pixels from background, organ-specific segmentation makes it feasible to measure a wider range of plant properties. Manually scored training data for a set of hyperspectral images collected from a sorghum association population was used to train and evaluate a set of supervised classification models. Many algorithms show acceptable accuracy for this classification task. …
Isoseq Transcriptome Assembly Of C3 Panicoid Grasses Provides Tools To Study Evolutionary Change In The Panicoideae,
2020
University of Nebraska - Lincoln
Isoseq Transcriptome Assembly Of C3 Panicoid Grasses Provides Tools To Study Evolutionary Change In The Panicoideae, Daniel S. Carvalho, Aime V. Nishimwe, James C. Schnable
Center for Plant Science Innovation: Faculty Publications
The number of plant species with genomic and transcriptomic data has been increasing rapidly. The grasses—Poaceae—have been well represented among species with published reference genomes. However, as a result the genomes of wild grasses are less frequently targeted by sequencing efforts. Sequence data from wild relatives of crop species in the grasses can aid the study of domestication, gene discovery for breeding and crop improvement, and improve our understanding of the evolution of C4 photosynthesis. Here, we used long-read sequencing technology to characterize the transcriptomes of three C3 panicoid grass species: Dichanthelium oligosanthes, Chasmanthium laxum, and …
Oxidosqualene Cyclases Involved In The Biosynthesis Of Triterpenoids In Quercus Suber Cork,
2020
University of British Columbia & University of Nebraska–Lincoln
Oxidosqualene Cyclases Involved In The Biosynthesis Of Triterpenoids In Quercus Suber Cork, Lucas Busta, Olga Serra, Ok Tae Kim, Marisa Molinas, Irene Peré-Fossoul, Mercè Figueras, Reinhard Jetter
Center for Plant Science Innovation: Faculty Publications
Cork is a water-impermeable, suberin-based material harboring lignin, (hemi)cellulose, and extractable small molecules (primarily triterpenoids). Extractables strongly influence the properties of suberin-based materials. Though these previous findings suggest a key role for triterpenoids in cork material quality, directly testing this idea is hindered in part because it is not known which genes control cork triterpenoid biosynthesis. Here, we used gas chromatography and mass spectrometry to determine that the majority (>85%) of non-polar extractables from cork were pentacyclic triterpenoids, primarily betulinic acid, friedelin, and hydroxy-friedelin. In other plants, triterpenoids are generated by oxidosqualene cyclases (OSCs). Accordingly, we mined Quercus suber …
Plant Segmentation By Supervised Machine Learning Methods,
2020
University of Nebraska-Lincoln
Plant Segmentation By Supervised Machine Learning Methods, Jason Adams, Yumou Qiu, Yuhang Xu, James C. Schnable
Center for Plant Science Innovation: Faculty Publications
High-throughput phenotyping systems provide abundant data for statistical analysis through plant imaging. Before usable data can be obtained, image processing must take place. In this study, we used supervised learning methods to segment plants from the background in such images and compared them with commonly used thresholding methods. Because obtaining accurate training data is a major obstacle to using supervised learning methods for segmentation, a novel approach to producing accurate labels was developed. We demonstrated that, with careful selection of training data through such an approach, supervised learning methods, and neural networks in particular, can outperform thresholding methods at segmentation.
Advances In Plant Phenomics: From Data And Algorithms To
Biological Insights,
2020
University of Nebraska-Lincoln
Advances In Plant Phenomics: From Data And Algorithms To Biological Insights, Sunil Kumar Kenchanmane Raju, Addie M. Thompson, James Schnable
Center for Plant Science Innovation: Faculty Publications
The measurement of the characteristics of living organisms is referred to as phenotyping (Singh et al., 2016). While the use of phenotyping in plant biology and genetics can be traced back at least to Gregor Mendel sorting and counting peas by shape and pod color 160 years ago, addressing current questions in plant biology, genetics, and breeding often requires increasingly precise phenotyping of a wide range of traits. Accurate phenotyping has played a role in both novel discoveries about the fundamental biology of plants and the development of improved crop varieties around the world. With the advent of inexpensive genotyping …
Leaf Angle Extractor: A High-Throughput Image Processing
Framework For Leaf Angle Measurements In Maize And
Sorghum,
2020
University of Nebraska-Lincoln
Leaf Angle Extractor: A High-Throughput Image Processing Framework For Leaf Angle Measurements In Maize And Sorghum, Sunil Kumar Kenchanmane Raju, Miles Adkins, Alex Enersen, Daniel Santana De Carvalho, Anthony J. Studer, Baskar Ganapathysubramanian, Patrick S. Schnable, James C. Schnable
Center for Plant Science Innovation: Faculty Publications
PREMISE: Maize yields have significantly increased over the past half-century owing to advances in breeding and agronomic practices. Plants have been grown in increasingly higher densities due to changes in plant architecture resulting in plants with more upright leaves, which allows more efficient light interception for photosynthesis. Natural variation for leaf angle has been identified in maize and sorghum using multiple mapping populations. However, conventional phenotyping techniques for leaf angle are low throughput and labor intensive, and therefore hinder a mechanistic understanding of how the leaf angle of individual leaves changes over time in response to the environment.
METHODS …
