Using Spectral Reflectance In Soybean Breeding

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Using Spectral Reflectance in Soybean Breeding

Author : Ethan J. Menke
Publisher :
ISBN 13 :
Total Pages : pages
Book Rating : 4.:/5 (12 download)

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Book Synopsis Using Spectral Reflectance in Soybean Breeding by : Ethan J. Menke

Download or read book Using Spectral Reflectance in Soybean Breeding written by Ethan J. Menke and published by . This book was released on 2018 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: Sudden Death Syndrome (SDS) in soybean, (Glycine max (L.) Merr.) caused by Fusarium virguliforme, is an increasing problem in commercial soybean production due to the yield loss associated with the disease. Screening for genetic resistance requires extensive visual evaluations. Canopy spectral reflectance may be an indirect tool for selection of SDS resistance as well as grain yield in large segregating populations. The objective of this study was to estimate SDS resistance and seed yield in large diverse soybean populations using canopy spectral reflectance. Spectral reflectance, disease index, maturity and yield were measured on two populations consisting of 160 nested association mapping recombinant inbred lines and checks; and 140 commercial cultivars with checks. Populations were grown in three environments in 2015 and 2016 with historic SDS disease pressure. Entry, environment, and entry by environment sources of variation were significant for disease index, yield, maturity and spectral reflectance. Changes in season average reflectance were correlated to disease index, yield and maturity. Estimation models of disease index, yield and maturity were created with season averages as well as individual day readings for both populations. Season average and individual day models accounted for 11% to 77% of the phenotypic variation in disease and 41% to 93% of yield variation when measurements were taken at the height of disease pressure. Models for disease index and yield models were able to predict significant portions of the phenotypic variation between entries at most environments. These results suggest that it may be possible to estimate resistance to SDS and grain yield in soybeans using spectral reflectance in breeding populations.

Using Remote Sensing in Soybean Breeding

Author : Hatice Aslan
Publisher :
ISBN 13 :
Total Pages : pages
Book Rating : 4.:/5 (95 download)

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Book Synopsis Using Remote Sensing in Soybean Breeding by : Hatice Aslan

Download or read book Using Remote Sensing in Soybean Breeding written by Hatice Aslan and published by . This book was released on 2015 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: Remote sensing technologies might serve as indirect selection tools to improve phenotyping to differentiate genotypes for yield in soybean breeding program as well as the assessment of soybean cyst nematode (SCN), Heterodera glycines. The objective of these studies were to: i) investigate potential use of spectral reflectance indices (SRIs) and canopy temperature (CT) as screening tools for soybean grain yield in an elite, segregating population; ii) determine the most appropriate growth stage(s) to measure SRI's for predicting grain yield; and iii) estimate SCN population density among and within soybean cultivars utilizing canopy spectral reflectance and canopy temperature. Experiment 1 was conducted at four environments (three irrigated and one rain-fed) in Manhattan, KS in 2012 and 2013. Each environment evaluated 48 F4- derived lines. In experiment 2, two SCN resistant cultivars and two susceptible cultivars were grown in three SCN infested field in Northeast KS, in 2012 and 2013. Initial (Pi) and final SCN soil population (Pf) densities were obtained. Analyses of covariance (ANCOVA) revealed that the green normalized vegetation index (GNDVI) was the best predictive index for yield compared to other SRI's and differentiated genotype performance across a range of reproductive growth stages. CT did not differentiate genotypes across environments. In experiment 2, relationships between GNDVI, reflectance at single wavelengths (675 and 810 nm) and CT with Pf were not consistent across cultivars or environments. Sudden death syndrome (SDS) may have confounded the relationships between remote sensing data and Pf. Therefore, it would be difficult to assess SCN populations using remote sensing based on these results.

Characterization of Soybean Seed Yield Using Optimized Phenotyping

Author : Brent Scott Christenson
Publisher :
ISBN 13 :
Total Pages : pages
Book Rating : 4.:/5 (856 download)

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Book Synopsis Characterization of Soybean Seed Yield Using Optimized Phenotyping by : Brent Scott Christenson

Download or read book Characterization of Soybean Seed Yield Using Optimized Phenotyping written by Brent Scott Christenson and published by . This book was released on 2013 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: Crops research moving forward faces many challenges to improve crop performance. In breeding programs, phenotyping has time and economic constraints requiring new phenotyping techniques to be developed to improve selection efficiency and increase germplasm entering the pipeline. The objectives of these studies were to examine the changes in spectral reflectance with soybean breeding from 1923 to 2010, evaluate band regions most significantly contributing to yield estimation, evaluate spectral reflectance data for yield estimation modeling across environments and growth stages and to evaluate the usefulness of spectral data as an optimized phenotyping technique in breeding programs. Twenty maturity group III (MGIII) and twenty maturity group IV (MGIV) soybeans, arranged in a randomized complete block design, were grown in Manhattan, KS in 2011 and 2012. Spectral reflectance data were collected over the growing season in a total of six irrigated and water- stressed environments. Partial least squares and multiple linear regression were used for spectral variable selection and yield estimation model building. Significant differences were found between genotypes for yield and spectral reflectance data, with the visible (VI) having greater differences between genotypes than the near-infrared (NIR). This study found significant correlations with year of release (YOR) in the VI and NIR portions of the spectra, with newer released cultivars tending to have lower reflectance in the VI and high reflectance in the NIR. Spectral reflectance data accounted for a large portion of variability for seed yield between genotypes using the red edge and NIR portions of the spectra. Irrigated environments tended to explain a larger portion of seed yield variability than water-stressed environments. Growth stages most useful for yield estimation was highly dependent upon the environment as well as maturity group. This study found that spectral reflectance data is a good candidate for exploration into optimized phenotyping techniques and with further research and validation datasets, may be a suitable indirect selection technique for breeding programs.

Investigations Into Using Vegetative Indices in Soybean Breeding

Author : Randi R. Clark
Publisher :
ISBN 13 :
Total Pages : pages
Book Rating : 4.:/5 (95 download)

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Book Synopsis Investigations Into Using Vegetative Indices in Soybean Breeding by : Randi R. Clark

Download or read book Investigations Into Using Vegetative Indices in Soybean Breeding written by Randi R. Clark and published by . This book was released on 2016 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: Yield in soybean (Glycine max (L.) Merr) needs to dramatically increase across the world to feed the growing population. Remote sensing and high-throughput phenotyping may provide a tool to better phenotype soybean genotypes. This research was conducted to: 1) examine the relationships between NDVI and CT with seed yield, maturity, lodging, and height, 2) determine if the time of day and growth stage have an effect on the spectral readings, 3) examine the relationships between spectral reflectance and traits associated with drought tolerance, and 4) evaluate how weather variables impact the ability of vegetative indices and canopy temperature to detect differences among genotypes. Ninety genotypes from the mapping population derived from the cross between KS4895 x Jackson were evaluated in Manhattan, KS, in 2013 and in McCune, Pittsburg, and Salina, KS in 2014. Genotypes were planted in a randomized complete bloc design in four-row, 3.4m long plots spaced 76 cm apart. Plant height, lodging, maturity and seed yield was collected on the center two rows of each plot. Spectral readings used to calculate a normalized differential vegetative index (NDVI) and canopy temperature (CT) were taken during reproductive growth. Nitrogen fixation trait and drought tolerance data was collected by the University of Arkansas. This population exhibited a substantial genetic variation for all traits evaluated. Correlations of NDVI and CT entry means with the agronomic traits were small and inconsistent. Time of day and growth stage were not important in differentiating genotypes. Differences in NDVI and CT did account for some genetic variation in drought tolerance traits, however, the strength of the associations were small. None of the weather variables were consistently associated with an increase or decrease in entry or error variance across the four environments. Stronger associations need to be established to use NDVI or CT to characterize differences in genotypes in a plant breeding program.

High-Throughput Phenotyping for Crop Improvement and Breeding

Author : Ankush Prashar
Publisher : Frontiers Media SA
ISBN 13 : 2889742830
Total Pages : 206 pages
Book Rating : 4.8/5 (897 download)

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Book Synopsis High-Throughput Phenotyping for Crop Improvement and Breeding by : Ankush Prashar

Download or read book High-Throughput Phenotyping for Crop Improvement and Breeding written by Ankush Prashar and published by Frontiers Media SA. This book was released on 2022-02-04 with total page 206 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Artificial Intelligence Applications in Specialty Crops

Author : Yiannis Ampatzidis
Publisher : Frontiers Media SA
ISBN 13 : 2889745570
Total Pages : 444 pages
Book Rating : 4.8/5 (897 download)

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Book Synopsis Artificial Intelligence Applications in Specialty Crops by : Yiannis Ampatzidis

Download or read book Artificial Intelligence Applications in Specialty Crops written by Yiannis Ampatzidis and published by Frontiers Media SA. This book was released on 2022-03-02 with total page 444 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Genomic selection and characterization in cereals

Author : Muhammad Abdul Rehman Rashid
Publisher : Frontiers Media SA
ISBN 13 : 2832507492
Total Pages : 305 pages
Book Rating : 4.8/5 (325 download)

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Book Synopsis Genomic selection and characterization in cereals by : Muhammad Abdul Rehman Rashid

Download or read book Genomic selection and characterization in cereals written by Muhammad Abdul Rehman Rashid and published by Frontiers Media SA. This book was released on 2023-05-10 with total page 305 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Remote Sensing for Field-based Crop Phenotyping

Author : Jiangang Liu
Publisher : Frontiers Media SA
ISBN 13 : 2832544304
Total Pages : 274 pages
Book Rating : 4.8/5 (325 download)

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Book Synopsis Remote Sensing for Field-based Crop Phenotyping by : Jiangang Liu

Download or read book Remote Sensing for Field-based Crop Phenotyping written by Jiangang Liu and published by Frontiers Media SA. This book was released on 2024-02-12 with total page 274 pages. Available in PDF, EPUB and Kindle. Book excerpt: Dynamic monitoring of crop phenotypic traits (e.g., LAI, plant height, biomass, nitrogen, yield et al.) is essential for exploring crop growth patterns, breeding new varieties, and determining optimized strategies for crop management. Traditional methods for determining crop phenotypic traits are mainly based on field sampling, handheld instrument measurement, and mechanized high-throughput platforms, which are time-consuming, and have low efficiency and incomplete spatial coverage. The development of crop science requires more rapid and accurate access to field-based crop phenotypes. Remote sensing provides a novel solution to quantify crop structural and functional traits in a timely, rapid, non-invasive and efficient manner. With the development of burgeoning remote sensing sensors and diversified algorithms, a range of crop phenotypic traits have been determined, including morphological parameters, spectral and textural characteristics, physiological traits, and responses to abiotic/biotic stresses in different environments. In addition, research advances in varying disciplines beyond agricultural sciences, such as engineering, computer science, molecular biology, and bioinformatics, have brought new opportunities for further development of remote sensing-based methods and technologies to gain more quantitative information on crop structure and function in complex environments

Physiological breeding I: interdisciplinary approaches to improve crop adaptation

Author :
Publisher : CIMMYT
ISBN 13 : 9706481818
Total Pages : 188 pages
Book Rating : 4.7/5 (64 download)

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Book Synopsis Physiological breeding I: interdisciplinary approaches to improve crop adaptation by :

Download or read book Physiological breeding I: interdisciplinary approaches to improve crop adaptation written by and published by CIMMYT. This book was released on with total page 188 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Genomics-aided Breeding Strategies for Biotic Stress in Grain Legumes

Author : Ashok Kumar Parihar
Publisher : Springer Nature
ISBN 13 : 9819739179
Total Pages : 524 pages
Book Rating : 4.8/5 (197 download)

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Book Synopsis Genomics-aided Breeding Strategies for Biotic Stress in Grain Legumes by : Ashok Kumar Parihar

Download or read book Genomics-aided Breeding Strategies for Biotic Stress in Grain Legumes written by Ashok Kumar Parihar and published by Springer Nature. This book was released on with total page 524 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Spectral Characteristics of Soybean During the Vegetative Cycle Using Landsat 5

Author : Erivelto Mercante
Publisher :
ISBN 13 : 9789533072401
Total Pages : pages
Book Rating : 4.0/5 (724 download)

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Book Synopsis Spectral Characteristics of Soybean During the Vegetative Cycle Using Landsat 5 by : Erivelto Mercante

Download or read book Spectral Characteristics of Soybean During the Vegetative Cycle Using Landsat 5 written by Erivelto Mercante and published by . This book was released on 2011 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:

Intelligent Image Analysis for Plant Phenotyping

Author : Ashok Samal
Publisher : CRC Press
ISBN 13 : 1351709984
Total Pages : 271 pages
Book Rating : 4.3/5 (517 download)

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Book Synopsis Intelligent Image Analysis for Plant Phenotyping by : Ashok Samal

Download or read book Intelligent Image Analysis for Plant Phenotyping written by Ashok Samal and published by CRC Press. This book was released on 2020-10-21 with total page 271 pages. Available in PDF, EPUB and Kindle. Book excerpt: Domesticated crops are the result of artificial selection for particular phenotypes or, in some cases, natural selection for an adaptive trait. Plant traits can be identified through image-based plant phenotyping, a process that was, until recently, strenous and time-consuming. Intelligent Image Analysis for Plant Phenotyping reviews information on time-saving techniques, using computer vision and imaging technologies. These methodologies provide an automated, non-invasive, and scalable mechanism by which to define and collect plant phenotypes. Beautifully illustrated, with numerous color images, the book focuses on phenotypes measured from individual plants under controlled experimental conditions, which are widely available in high-throughput systems. Features: Presents methodologies for image processing, including data-driven and machine learning techniques for plant phenotyping. Features information on advanced techniques for extracting phenotypes through images and image sequences captured in a variety of modalities. Includes real-world scientific problems, including predicting yield by modeling interactions between plant data and environmental information. Discusses the challenge of translating images into biologically informative quantitative phenotypes. A practical resource for students, researchers, and practitioners, this book is invaluable for those working in the emerging fields at the intersection of computer vision and plant sciences.

Using Advanced Proximal Sensing and Genotyping Tools Combined with Bigdata Analysis Methods to Improve Soybean Yield

Author : Mohsen Yoosefzadeh Najafabadi
Publisher :
ISBN 13 :
Total Pages : pages
Book Rating : 4.:/5 (132 download)

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Book Synopsis Using Advanced Proximal Sensing and Genotyping Tools Combined with Bigdata Analysis Methods to Improve Soybean Yield by : Mohsen Yoosefzadeh Najafabadi

Download or read book Using Advanced Proximal Sensing and Genotyping Tools Combined with Bigdata Analysis Methods to Improve Soybean Yield written by Mohsen Yoosefzadeh Najafabadi and published by . This book was released on 2021 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: Improving yield potential in major food-grade crops such as soybean (Glycine max L.) is the most sustainable way to address the growing global food demand and its security concerns. Selections for high-yielding cultivars have been mainly focused on the yield performance per se but not necessarily on secondary related-traits associated with yield. Recent substantial advances in proximal sensing have provided plant breeders with affordable and efficient tools for evaluating a large number of genotypes for important agronomic traits, including yield, at early growth stages. Nevertheless, the implementation of large datasets generated by proximal sensing such as hyperspectral reflectance in cultivar development programs is still challenging due to the essential need for intensive knowledge in computational and statistical analyses. Therefore, this thesis was aimed to: (1) investigate the potential use of soybean hyperspectral reflectance, hyperspectral reflectance indices (HVI), and yield components such as number of nodes (NP), number of non-reproductive nodes (NRNP), number of reproductive nodes (RNP), and number of pods (PP) per plant for predicting the final seed yield using different machine learning (ML) algorithms, (2) select the top-ranking hyperspectral reflectance and HVI in predicting soybean yield and fresh biomass (FBIO) using recursive feature elimination (RFE) strategy, (3) implement genetic optimization algorithm and the improved version of the strength Pareto evolutionary algorithm 2 (SPEA2) to optimize yield components and HVI for maximizing soybean seed yield and FBIO, and (4) study the genetics of soybean yield and its secondary related-traits in order to discover genomic regions underlying the traits by using genome-wide association study (GWAS). In this study, different ML algorithms such as ensemble stacking (E-S), ensemble bagging (EB), and deep neural network (DNN) were tested to evaluate their efficiency in predicting soybean yield and FBIO production using a panel of 250 genotypes evaluated in four environments. Also, for the first time, we implemented ML algorithms in GWAS to detect the associated QTL with soybean yield components. The results of this study may provide a perspective for geneticists and breeders regarding the use of ML algorithms in phenomics and genomics that will result in the selection of superior soybean genotypes.

Hyperspectral Imaging Technology: A Novel Method for Agricultural and Biosecurity Diagnostics

Author : Penghao Wang
Publisher : Frontiers Media SA
ISBN 13 : 2889718417
Total Pages : 137 pages
Book Rating : 4.8/5 (897 download)

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Book Synopsis Hyperspectral Imaging Technology: A Novel Method for Agricultural and Biosecurity Diagnostics by : Penghao Wang

Download or read book Hyperspectral Imaging Technology: A Novel Method for Agricultural and Biosecurity Diagnostics written by Penghao Wang and published by Frontiers Media SA. This book was released on 2021-12-22 with total page 137 pages. Available in PDF, EPUB and Kindle. Book excerpt: Prof. Zhou holds patents on the management of agricultural pests. All other Topic Editors declare no competing interests with regard to the Research Topic subject.

High-Throughput Field Phenotyping to Advance Precision Agriculture and Enhance Genetic Gain

Author : Urs Schmidhalter
Publisher : Frontiers Media SA
ISBN 13 : 2889711595
Total Pages : 399 pages
Book Rating : 4.8/5 (897 download)

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Book Synopsis High-Throughput Field Phenotyping to Advance Precision Agriculture and Enhance Genetic Gain by : Urs Schmidhalter

Download or read book High-Throughput Field Phenotyping to Advance Precision Agriculture and Enhance Genetic Gain written by Urs Schmidhalter and published by Frontiers Media SA. This book was released on 2021-08-10 with total page 399 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Biotechnologies for Plant Mutation Breeding

Author : Joanna Jankowicz-Cieslak
Publisher : Springer
ISBN 13 : 3319450212
Total Pages : 343 pages
Book Rating : 4.3/5 (194 download)

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Book Synopsis Biotechnologies for Plant Mutation Breeding by : Joanna Jankowicz-Cieslak

Download or read book Biotechnologies for Plant Mutation Breeding written by Joanna Jankowicz-Cieslak and published by Springer. This book was released on 2016-12-08 with total page 343 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is open access under a CC BY-NC 2.5 license. This book offers 19 detailed protocols on the use of induced mutations in crop breeding and functional genomics studies, which cover topics including chemical and physical mutagenesis, phenotypic screening methods, traditional TILLING and TILLING by sequencing, doubled haploidy, targeted genome editing, and low-cost methods for the molecular characterization of mutant plants that are suitable for laboratories in developing countries. The collection of protocols equips users with the techniques they need in order to start a program on mutation breeding or functional genomics using both forward and reverse-genetic approaches. Methods are provided for seed and vegetatively propagated crops (e.g. banana, barley, cassava, jatropha, rice) and can be adapted for use in other species.

Handbook of Computational Sciences

Author : Ahmed A. Elngar
Publisher : John Wiley & Sons
ISBN 13 : 1119763444
Total Pages : 420 pages
Book Rating : 4.1/5 (197 download)

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Book Synopsis Handbook of Computational Sciences by : Ahmed A. Elngar

Download or read book Handbook of Computational Sciences written by Ahmed A. Elngar and published by John Wiley & Sons. This book was released on 2023-07-18 with total page 420 pages. Available in PDF, EPUB and Kindle. Book excerpt: The Handbook of Computational Sciences is a comprehensive collection of research chapters that brings together the latest advances and trends in computational sciences and addresses the interdisciplinary nature of computational sciences, which require expertise from multiple disciplines to solve complex problems. This edited volume covers a broad range of topics, including computational physics, chemistry, biology, engineering, finance, and social sciences. Each chapter provides an in-depth discussion of the state-of-the-art techniques and methodologies used in the respective field. The book also highlights the challenges and opportunities for future research in these areas. The volume pertains to applications in the areas of imaging, medical imaging, wireless and WS networks, IoT with applied areas, big data for various applicable solutions, etc. This text delves deeply into the core subject and then broadens to encompass the interlinking, interdisciplinary, and cross-disciplinary sections of other relevant areas. Those areas include applied, simulation, modeling, real-time, research applications, and more. Audience Because of the book’s multidisciplinary approach, it will be of value to many researchers and engineers in different fields including computational biologists, computational chemists, and physicists, as well as those in life sciences, neuroscience, mathematics, and software engineering.