Search citation statements
Paper Sections
Citation Types
Year Published
Publication Types
Relationship
Authors
Journals
Thousand-grain weight is a key indicator of crop yield and an important parameter for evaluating cultivation measures. Existing methods based on image analysis are convenient but lack a counting algorithm that is suitable for multiple types of grains. This research develops an application program based on an Android device to quickly calculate the number of grains. We explore the short axis measurement method of the grains with morphological thought, and determine the relationship between the general corrosion threshold and the short axis. To solve the problem of calculating the number of grains in the connected area, the study proposes a corrosion algorithm based on the short axis and an improved corner point method. After testing a variety of crop grains and equipment, it was found that the method has high universality, supports grain counting with white paper as the background, and has high accuracy and calculation efficiency. The average accuracy rate is 97.9%, and the average time is less than 0.7 seconds. In addition, the difference between the average accuracy for various mobile phones and multiple crops is small. This research proposes a grain counting algorithm with a wide range of applications to meet the requirements of nonglare use in the field. The algorithm provides a fast, accurate, low-cost tool for counting grains of wheat, corn, mung bean, soybean, peanut, rapeseed, etc., which is less constrained by space and power conditions. The algorithm is highly adaptable and can provide a reference for the study of grain counting.
Thousand-grain weight is a key indicator of crop yield and an important parameter for evaluating cultivation measures. Existing methods based on image analysis are convenient but lack a counting algorithm that is suitable for multiple types of grains. This research develops an application program based on an Android device to quickly calculate the number of grains. We explore the short axis measurement method of the grains with morphological thought, and determine the relationship between the general corrosion threshold and the short axis. To solve the problem of calculating the number of grains in the connected area, the study proposes a corrosion algorithm based on the short axis and an improved corner point method. After testing a variety of crop grains and equipment, it was found that the method has high universality, supports grain counting with white paper as the background, and has high accuracy and calculation efficiency. The average accuracy rate is 97.9%, and the average time is less than 0.7 seconds. In addition, the difference between the average accuracy for various mobile phones and multiple crops is small. This research proposes a grain counting algorithm with a wide range of applications to meet the requirements of nonglare use in the field. The algorithm provides a fast, accurate, low-cost tool for counting grains of wheat, corn, mung bean, soybean, peanut, rapeseed, etc., which is less constrained by space and power conditions. The algorithm is highly adaptable and can provide a reference for the study of grain counting.
Wheat is usually grown as a rainfed crop, and no irrigation is applied in most production fields. This study was undertaken to evaluate to quality characteristics of durum wheat germplasm in three different environments under rainfed and irrigated field conditions during 2019-2020, 2020-2021 and 2021-2022 growing seasons. Supplemental irrigations (SI) were applied during critical vegetative stages (spiking and grain filling) in irrigated treatments while plants only received water from natural rainfall in rainfed treatments. Field experiments were performed in a 12x12 Alpha Lattice design with two replications. Grain protein content (GPC), starch content, wet gluten content and test weight were examined for one hundred and twenty-five durum wheat genotypes which consist of fifty-one local cultivars, twenty-one foreign cultivars, forty-four gene bank landraces (ex situ) and fifteen landraces (in situ). SI resulted in decrease in GPC and wet gluten content but increase in starch content. Ex situ landraces (17.48%) and in situ landraces (16.62%) had higher GPC mean values under both rainfed and irrigated conditions in 2019/2020 and 2020/2021 growing seasons. Correlation coefficient was 0.90 between GPC-wet gluten content while it was -0.82 and -073 between starch content-GPC and starch content-wet gluten content, respectively. The effect of SI was more evident in local and foreign cultivars in all three environments compared to landraces. Our results indicated that ex situ landraces has a great potential in terms of grain quality characteristics. The high genotypic diversity and improved quality characteristics in landraces provided extensive insights for future studies to improve crop quality in areas with limited irrigation opportunities.
Karakılçık (KK) is a landrace, which both bread and durum wheat forms exist. This is the first study that reports mutation induction and detection with agronomic traits and allele specific markers on KK durum wheat landrace. In the study, KK landrace was induced with chemical mutation using sodium azide (NaN3) (3 mM) mutagen to improve agronomic traits. In the research, KK genotype and the 13 M4 individuals (KK-1 to KK-13) were used as plant materials. According to the results, the shortest mutant genotype was KK-10 (125.80 cm), with the highest protein ratio (18.50%) and wet gluten ratio (37.10%), while KK-9 genotype had the highest grain yield (4285.6 kg ha-1). The average polymorphism information content (PIC) was calculated as 0.97, while the average allele number was 15.2 per marker. Glu-B1 (Bx7OE primer) allele was determined on KK-11 and KK-13 genotypes. Wx-A1 allele was found on KK-1, KK-2, KK-4, KK-5 and KK-7 genotypes. Sr49 allele (Sun209) was determined on KK-5 genotype, while Yr45 allele (Xwgp118) was detected on KK-10 genotype. In addition, the high protein content allele Gpc-B1 (UHW89 primer) was found on KK-1, KK-2, KK-3 and KK-4 genotypes. Based on the principal component biplot analysis, it was determined that there was a positive relationship between grain yield (GY) with test weight (TW), grain number and weight per spike (GNS and GWS), and negative relationship with the other traits.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
customersupport@researchsolutions.com
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.