Hannah Worral

ORCID: 0000-0003-3832-5815
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About
Contact & Profiles
Research Areas
  • Genetic and Environmental Crop Studies
  • Genetics and Plant Breeding
  • Genetic Mapping and Diversity in Plants and Animals
  • Genetic and phenotypic traits in livestock
  • Agricultural pest management studies
  • Plant Disease Resistance and Genetics
  • Agronomic Practices and Intercropping Systems
  • Remote Sensing in Agriculture
  • Plant Pathogens and Resistance
  • Smart Agriculture and AI
  • Genetically Modified Organisms Research
  • Plant Genetic and Mutation Studies
  • Seed and Plant Biochemistry
  • Leaf Properties and Growth Measurement
  • Remote Sensing and LiDAR Applications
  • Cooperative Studies and Economics
  • Magnetic and Electromagnetic Effects

Dakota State University
2024

North Dakota State University
2022-2024

North Central College
2024

Iowa State University
2015-2017

Abstract Aphanomyces root rot (ARR) is a devastating disease in field pea ( Pisum sativum L.) that can cause up to 100% crop failure. Assessment of ARR resistance be rigorous, costly, time‐demanding activity relatively low‐throughput and prone human errors. These limits the ability effectively efficiently phenotype symptoms arising from infection which remains perennial bottleneck successful evaluation incorporation into new cultivars. In this study, we developed greenhouse‐based...

10.1002/ppj2.20063 article EN cc-by-nc-nd The Plant Phenome Journal 2023-04-07

Phenotypic evaluation and efficient utilization of germplasm collections can be time-intensive, laborious, expensive. However, with the plummeting costs next-generation sequencing addition genomic selection to plant breeder's toolbox, we now more efficiently tap genetic diversity within large collections. In this study, applied evaluated prediction's potential a set 482 pea (Pisum sativum L.) accessions-genotyped 30,600 single nucleotide polymorphic (SNP) markers phenotyped for seed yield...

10.3389/fgene.2021.707754 article EN cc-by Frontiers in Genetics 2021-12-24

Abstract Multi‐trait genomic selection (MT‐GS) has the potential to improve predictive ability by maximizing use of information across related genotypes and genetically correlated traits. In this study, we extended sparse phenotyping method into MT‐GS framework split testing entries maximize borrowing predict missing phenotypes for targeted traits without additional expenditure. Using 300 advanced breeding lines from North Dakota State University (NDSU) pulse program ∼200 USDA accessions...

10.1002/tpg2.20260 article EN cc-by-nc-nd The Plant Genome 2022-10-03

Abstract Seed traits, such as seed color and size, directly impact quality, affecting the marketability value of dry peas [1]. Assessing quality is integral to a plant breeding programs ensure optimal standards. This research introduced phenotyping tool assess traits specifically tailored for pulse crops, which integrates image processing with cutting-edge deep learning models. The proposed method designed automation, seamlessly sequence images while minimizing human intervention. pipeline...

10.1101/2024.03.05.583564 preprint EN cc-by bioRxiv (Cold Spring Harbor Laboratory) 2024-03-06

Abstract Phenotypic selection of complex traits such as seed yield and protein in the preliminary trial (PYT) is often constrained by limited availability, resulting trials with few environments minimal to no replications. Multi‐trait multi‐environment enabled genomic prediction (MTME‐GP) offers a valuable alternative predict missing phenotypes candidates for multiple diverse environments. In this study, we assessed efficiency MTME‐GP improving field pea, top two breeding targets but highly...

10.1002/tpg2.20496 article EN cc-by-nc-nd The Plant Genome 2024-08-04

The discovery of the opaque2 (o2) mutation and o2 modifier genes in maize (Zea mays L.) has resulted development Quality Protein Maize (QPM) lines with increased lysine tryptophan content. QPM BQPM9 (Reg. No. GP-584, PI 671795), BQPM10 GP-585, 671796), BQPM11 GP-586, 671797), BQPM12 GP-587, 671798), BQPM13 GP-588, 671799), BQPM14 GP-589, 671800), BQPM15 GP-592, 673348), BQPM16 GP-590, 671801), BQPM17 GP-591, 671802) were developed jointly by Iowa State University USDA-ARS to address lack...

10.3198/jpr2014.11.0080crg article EN Journal of Plant Registrations 2015-08-21

Abstract ‘ND Dawn’ (Reg. no. CV‐30, PI 694866), a semi‐dwarf, semi‐leafless, large‐seeded yellow field pea ( Pisum sativum L.) cultivar, was developed by the pulse crops breeding program at North Dakota State University and approved for release Agricultural Experiment Station. ND Dawn, first cultivar from program, bulk‐pedigree method. Based on 18 environments (location‐years) of yield trials across Dakota, Dawn had similar seed (2,843 kg ha −1 ) with commercial cultivars ‘AC Agassiz’ (2,875...

10.1002/plr2.20097 article EN Journal of Plant Registrations 2020-12-28

ABSTRACT Phenotypic selection in preliminary yield trials (PYT) is challenged by limited seeds, resulting with few replications and environments. The emergence of multi-trait multi-environment enabled genomic prediction (MTME-GP) offers opportunity for enhancing accuracy genetic gain across multiple traits diverse Using a set 300 advanced breeding lines the North Dakota State University (NDSU) pulse crop program, we assessed efficiency MTME-GP model improving seed protein content field peas...

10.1101/2024.02.18.580909 preprint EN cc-by-nd bioRxiv (Cold Spring Harbor Laboratory) 2024-02-21

Abstract Background Effective population size ( N e ) is a pivotal parameter in genetics as it can provide information on the rate of inbreeding and contemporary status genetic diversity breeding populations. The with smaller lead to faster inbreeding, little potential for gain making selections ineffective. importance has become increasingly recognized plant breeding, which help breeders monitor enhance variability or redesign their selection protocols. Here, we present first estimates...

10.1101/2024.02.19.581041 preprint EN cc-by bioRxiv (Cold Spring Harbor Laboratory) 2024-02-21

<title>Abstract</title> Ascochyta blight (AB), caused by the necrotrophic fungus <italic>Ascochyta rabiei</italic>, is a major threat to chickpea production worldwide. Resistance genes with broad-spectrum protection against virulent <italic>A. rabiei</italic> strains are required secure yield in US Northern Great Plains. Here we performed genome-wide association (GWA) study discover novel sources of genetic variation for AB resistance using worldwide germplasm collection 219 lines. was...

10.21203/rs.3.rs-4784305/v1 preprint EN Research Square (Research Square) 2024-09-10

Ascochyta blight, caused by the necrotrophic fungus rabiei, is a major threat to chickpea production worldwide. Resistance genes with broad-spectrum protection against virulent A. rabiei strains are required secure yield in US Northern Great Plains. Here, we performed genome-wide association (GWA) study discover novel sources of genetic variation for blight resistance using worldwide germplasm collection 219 lines. was evaluated at 3, 9, 11, 13, and 14 days post-inoculation. Multiple GWA...

10.1038/s41598-024-83007-0 article EN cc-by-nc-nd Scientific Reports 2024-12-28

Abstract ‘ND Victory’ (Reg. no. CV‐31, PI 701908) is the first semi‐leafless, green cotyledon field pea cultivar ( Pisum sativum L.) developed by North Dakota State University Pulse Crops Breeding Program and approved for release Agricultural Experiment Station. It has white flowers, opaque seed coat, smooth, round seed. semi‐dwarf, with lodging score of 3.3/9 canopy height 57 cm. Based on 30 environments (location‐year) replicated yield trials in Dakota, ND Victory (2847 kg ha −1 ) was...

10.1002/plr2.20266 article EN Journal of Plant Registrations 2023-04-23

Abstract Aphanomyces root rot (ARR) is a devastating disease in field pea (Pisum sativum L.) that can cause up to 100% crop failure. Assessment of ARR resistance be rigorous, costly, time-demanding activity relatively low-throughput and prone human errors. These limits the ability effectively efficiently phenotype symptoms arising from infection, which remains perennial bottleneck successful evaluation incorporation into new cultivars. In this study, we developed greenhouse-based high...

10.1101/2022.08.01.502415 preprint EN cc-by-nd bioRxiv (Cold Spring Harbor Laboratory) 2022-08-03

Abstract ‘ND Crown’ (Reg. no. CV‐342, PI 694865), a large‐seeded kabuli chickpea ( Cicer arietinum L.), was developed by the North Dakota State University Pulse Crops Breeding Program and approved for release Agricultural Experiment Station. ND Crown, first cultivar from program, selected specifically adaptation to growing conditions on basis of its high yield potential, medium maturity, large seed size, moderate resistance Ascochyta blight. Based 21 environments (location‐years) trials...

10.1002/plr2.20122 article EN Journal of Plant Registrations 2021-04-20

Abstract Phenotypic evaluation and efficient utilization of germplasm collections can be time-intensive, laborious, expensive. However, with the plummeting costs next-generation sequencing addition genomic selection to plant breeder’s toolbox, we now more efficiently tap genetic diversity within large collections. In this study, applied evaluated selection’s potential a set 482 pea accessions – genotyped 30,600 single nucleotide polymorphic (SNP) markers phenotyped for seed yield...

10.1101/2021.05.07.443173 preprint EN cc-by-nc-nd bioRxiv (Cold Spring Harbor Laboratory) 2021-05-08

Abstract The superiority of multi-trait genomic selection (MT-GS) over univariate (UNI-GS) can be improved by redesigning the phenotyping strategy. In this study, we used about 300 advanced breeding lines from North Dakota State University (NDSU) pulse program and 200 USDA accessions evaluated for ten nutritional traits to assess efficiency sparse testing in MT-GS. Our results showed that using MT-GS consistently outperformed UNI-GS when compared partially balanced This strategy further...

10.1101/2022.04.11.487944 preprint EN cc-by-nc-nd bioRxiv (Cold Spring Harbor Laboratory) 2022-04-12
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