Early Stages Of Breeding Research Articles

In Vivo Leaf Inoculation: An Alternative Method to Assess the Disease Resistance of Hybrid Clones in Poplar Breeding of Stem Canker Disease.

Stem canker diseases caused by the pathogen Cytospora chrysosperma (Pers.) Fr.) and Botryosphaeria dothidea (Moug. ex Fr.) Ces. & de Not. are the two major forest diseases in the poplar plantations in China, sometimes which can destroy all the poplar seedlings or severely damage mature poplar forests. Hybrid breeding is the most direct and efficient method of controlling and managing tree diseases. However, assessing disease resistance or selecting disease-resistance clones based on In vitro stem inoculation is inefficient, time-consuming, and expensive, limiting the development of hybrid breeding of poplar stem canker disease. In this study, we proposed an alternative method to assess disease resistance to stem canker pathogens through in vivo leaf inoculation. The test materials used in this method can be on 1-year-old poplar saplings or the annual branches of perennial poplars in the greenhouse or the field. The critical step of this alternative method is the selection of inoculating leaves: the 5-7th newly matured leaves might be the most suitable. The second critical step of the leaf inoculation method is to make wounds on plant leaves through needle pierces, providing sufficient lesions to measure disease severity. For the adequate number of leaves produced in the early stage of poplar breeding, this in vivo leaf inoculation contributes to the rapid, accurate, and large-scale screening of the disease-resistance poplar clones to stem canker pathogens. Moreover, this leaf inoculation method will also serve as an efficient method for screening pathotypes of stem canker disease pathogen C. chrysosperma, B.dothidea, or other poplar stem canker pathogens.

Phenotypic characteristics of the mycelium of Pleurotus geesteranus using image recognition technology.

Phenotypic analysis has significant potential for aiding breeding efforts. However, there is a notable lack of studies utilizing phenotypic analysis in the field of edible fungi. Pleurotus geesteranus is a lucrative edible fungus with significant market demand and substantial industrial output, and early-stage phenotypic analysis of Pleurotus geesteranus is imperative during its breeding process. This study utilizes image recognition technology to investigate the phenotypic features of the mycelium of P. geesteranus. We aim to establish the relations between these phenotypic characteristics and mycelial quality. Four groups of mycelia, namely, the non-degraded and degraded mycelium and the 5th and 14th subcultures, are used as image sources. Two categories of phenotypic metrics, outline and texture, are quantitatively calculated and analyzed. In the outline features of the mycelium, five indexes, namely, mycelial perimeter, radius, area, growth rate, and change speed, are proposed to demonstrate mycelial growth. In the texture features of the mycelium, five indexes, namely, mycelial coverage, roundness, groove depth, density, and density change, are studied to analyze the phenotypic characteristics of the mycelium. Moreover, we also compared the cellulase and laccase activities of the mycelium and found that cellulase level was consistent with the phenotypic indices of the mycelium, which further verified the accuracy of digital image processing technology in analyzing the phenotypic characteristics of the mycelium. The results indicate that there are significant differences in these 10 phenotypic characteristic indices ( ), elucidating a close relationship between phenotypic characteristics and mycelial quality. This conclusion facilitates rapid and accurate strain selection in the early breeding stage of P. geesteranus.

Pyramiding effects of favorable haplotypes of loci on major fiber yield and quality traits in Upland Cotton (Gossypium hirsutum L.)

Enhancing both fiber yield and quality is crucial in cotton breeding programs. Typically, a negative correlation exists between fiber yield and quality, and the strategy to decouple this relationship remains obscure. In this study, we generated three multi-parent intercross populations, encompassing 2,852 F2:3 lines, which represent fiber yield potential (FY), fiber quality potential (FQ), and a combination of both potentials (FYQ), derived from sixteen diverse Upland cotton cultivars. We utilized twenty-four kompetitive allele specific PCR (KASP) molecular markers, based on previously identified loci associated with fiber quality (FL5/FS1, FL3/FS2, and FL2) and fiber yield (BW1, BW2, and LP1), for genotyping purposes. The pyramiding of favorable haplotypes from three fiber quality-associated loci resulted in an increase exceeding 10% in fiber length (FL5+FL3+FL2+LP1) and in an increase exceeding 17% in fiber strength (FL5+FL3+FL2). Notably, our findings suggest that the combination of FL3+FL2+BW1+LP1 alleles has the potential to disrupt the negative correlation between fiber yield and quality. Lines harboring these alleles simultaneously exhibited an elevated lint percentage (LP), as well as enhanced fiber length and quality. This study offers robust molecular markers for the efficient selection of superior progeny with desired phenotypes in the early stages of cotton breeding. Furthermore, the allelic combination that concurrently improves fiber quality and yield sheds light on for further exploration the molecular basis of breaking unfavorable linkages in crop breeding.

DEVELOPING MULTILINE COWPEA VARIETIES ADAPTED TO LOCAL CROPPING SYSTEMS AND SPECIFIC FARMERS’ PRODUCTION GOALS THROUGH PARTICIPATORY BREEDING

<p><strong>Background</strong><strong>.</strong> Decentralized participatory breeding approach facilitate the development of varieties better suited for a diversity of farmers' contexts. To enhance breeding efficiency, formal methodological settings are needed to include, at early stage of selection, particular local practices and farmers’ preferences. <strong>Objective</strong><strong>.</strong> Evaluate how location, farmers’ profile and local cropping system could be taken into account to optimize selection of cowpea varieties in a decentralized context. <strong>Methodology:</strong> Twenty-two candidate multiline varieties of cowpea (<em>Vigna unguiculata L. </em>Walp) were developed from a biparental family of recombinant inbred lines. These varieties were subjected to selection under edaphic and climatic conditions of three locations and two cropping systems (intercropping <em>versus</em> sole cropping). Trials were carried out in collaboration with farmers' federations. Participatory evaluations were conducted over two years by the three groups of farmers defined by the following production goals: grains production as priority (“Grain priority profile”), fodder as priority (“Fodder priority profile”) and grain quality as priority (“Food processing priority profile”). <strong>Results</strong><strong>.</strong> The statistical analysis supported significant effects of location and cropping system on the agronomic traits, with interactions effects involving the variety. A strong correlation was observed between the varietal choices of the two farmers’ profiles which prioritized respectively grain and food processing. These farmers preferred varieties with higher grain yield and best grain quality. Farmers who prioritized fodder preferred more specific varieties, characterized by highest haulm yield. <strong>Implications.</strong> The clustering of farmers into specific profiles is an efficient method which allow expressing their diversified production goals through participatory evaluation. This led to more specific varietal choices for each of the profiles. <strong>Conclusion</strong><strong>.</strong> This study set cropping systems and farmer profiles as formal design factors at early breeding stage. These factors acted efficiently to support the process of varietal choice. The participatory approach highlighted the congruence and complementary between farmers’ and researchers’ knowledges. It helped identifying, for intercropping and sole cropping systems respectively, the most suitable varieties preferred by each of three respective farmers’ group.</p>

Study results of the parameters of winter barley adaptability according to forecrops

The development and wide distribution of new adaptive varieties in production is a promising and environmentally friendly way for the development of agriculture. A new, more modern, highly productive variety can ensure increased productivity, resistance of crops to stress factors, and promotes better use of natural and anthropogenic resources. The leading direction in breeding in the nearest future should be not the development of varieties in general, adapted to growing conditions, but the identification of varieties adapted to the stress-limiting environmental factors of a particular region, adaptive to the challenges of nature. In addition to the characteristics of the variety and environmental conditions, the forecrop also influences its productivity. Selection in some conditions may not reveal the potential of the genotype in others, which makes it important to obtain information on different growing environments of varieties at the early stages of breeding. The purpose of the current study was to determine the adaptive properties of promising winter barley varieties and lines according to various forecrops. The study was carried out from 2021 to 2023 to estimate the adaptability parameters of 20 winter barley varieties and lines developed by the FSBSI Agricultural Research Center “Donskoy” for various forecrops (weedfree fallow, peas, sunflower, winter wheat). To determine the indicators of homeostaticity (Hom) and selection value (Sc), stress resistance (Ymin–Ymax) and genetic flexibility ((Ymax+Ymin)/2), the coefficient of responsiveness to favorable growing conditions (Kr) and the indicator of the stability level of the variety (VSLI), there have been applied the methods of V.V. Khangildin and N.A. Litvinenko (1981), A.A. Rosielle and J. Hamblina as presented by A.A. Goncharenko (2005), V.A. Zykin (2005), E.D. Nettevich (2001). According to all forecrops, there have been identified the varieties distinguished by high parameters of environmental adaptability and stability. Stress-resistant genotypes included the lines ‘Parallelum 2016’ and ‘Parallelum 2017’ (Ymin–Ymax = 1.2, 1.1, respectively), which were distinguished by a set of stability indicators and have been recommended for use in the breeding process as sources of high stress resistance, low yield variability, capable of minimizing negative impact of growing conditions. The variety ‘Step’ proved to be adaptable (regression coefficient bi = 1.5), genetically flexible ((Ymin–Ymax)/2 = 7.7), and highly responsive to growing conditions (Kr = 1.53). The dynamics of productivity corresponded to changes in growing conditions, and to maximize a productivity level, there has been recommended to cultivate it on intensive forecrops.

Early generation clonal selection of sweetpotato (Ipomoea batatas (L.) Lam) using an accelerated breeding scheme

The breeding stages of a clonally propagated crop entails several steps and can take more than five years from hybridisation till cultivar release. The Accelerated Breeding Scheme (ABS) in sweetpotato relies on the use of multiple locations at the early breeding stages to reduce the years required for field evaluation. The aim of the study was to select the best progenies based on the ABS in sweetpotato towards the development of genotypes that combine high protein content with other important agronomic traits. Botanical seeds were generated from crosses between two diverse sets of parents, crossed using a North Carolina II design. F1-progenies (n = 363) were planted in a lattice design at three distinct locations during the 2017/18 planting season. Parameters recorded included pest and disease infestation, storage root traits and yield components, root protein content and nutrient related traits. Nutrient content was determined by near-infrared spectrometry. Analysis of variance and multiple t-distribution test and best test grouping were performed. There were significant differences (p < 0.001) among the genotypes for total number of roots, total root yield, marketable number of roots and marketable yield. The severity of Alternaria blight was significantly higher at Jozini. Forty progenies were selected (12.8% selection pressure) based on agronomic performance. Using the nutrient content results, four promising orange-fleshed clones (NC12-9, NC53-11, NC55-8, NC55-2) and one cream-fleshed clone (NC51-1) were identified with high storage root protein, iron and zinc contents. NC51-1 and NC55-2 produce promising storage root yields. The ABS approach is resource-demanding in the first phase but advances progenies rapidly to the subsequent breeding phases for cultivar release.

Molecular Genetic Diversity of Local and Exotic Durum Wheat Genotypes and Their Combining Ability for Agronomic Traits under Water Deficit and Well-Watered Conditions.

Water deficit poses significant environmental stress that adversely affects the growth and productivity of durum wheat. Moreover, projections of climate change suggest an increase in the frequency and severity of droughts, particularly in arid regions. Consequently, there is an urgent need to develop drought-tolerant and high-yielding genotypes to ensure sustained production and global food security in response to population growth. This study aimed to explore the genetic diversity among local and exotic durum wheat genotypes using simple sequence repeat (SSR) markers and, additionally, to explore the combining ability and agronomic performance of assessed durum wheat genotypes and their 28 F1 crosses under normal and drought stress conditions. The investigated SSRs highlighted and confirmed the high genetic variation among the evaluated parental durum wheat genotypes. These diverse eight parental genotypes were consequently used to develop 28 F1s through a diallel mating design. The parental durum genotypes and their developed 28 F1s were assessed under normal and drought stress conditions. The evaluated genotypes were analyzed for their general and specific combining abilities as well as heterosis for agronomic traits under both conditions. The local cultivar Bani-Suef-7 (P8) is maintained as an effective combiner for developing shortened genotypes and improving earliness. Moreover, the local cultivars Bani-Suef-5 (P7) and Bani-Suef-7 (P8) along with the exotic line W1520 (P6) demonstrated excellent general combining ability for improving grain yield and its components under drought stress conditions. Furthermore, valuable specific hybrid combinations, W988 × W994 (P1 × P2), W996 × W1518 (P3 × P5), W1011 × W1520 (P4 × P6), and Bani-Suef-5 × Bani-Suef-7 (P7 × P8), were identified for grain yield and its components under drought stress conditions. The assessed 36 genotypes were grouped according to tolerance indices into five clusters varying from highly drought-sensitive genotypes (group E) to highly drought-tolerant (group A). The genotypes in cluster A (two crosses) followed by thirteen crosses in cluster B displayed higher drought tolerance compared to the other crosses and their parental genotypes. Subsequently, these hybrids could be considered valuable candidates in future durum wheat breeding programs to develop desired segregants under water-deficit conditions. Strong positive relationships were observed between grain yield and number of grains per spike, plant height, and 1000-grain weight under water-deficit conditions. These results highlight the significance of these traits for indirect selection under drought stress conditions, particularly in the early stages of breeding, owing to their convenient measurability.

Predicting starch content of cassava with near infrared spectroscopy in Ugandan cassava germplasm

In Uganda, efforts are underway to improve starch content through conventional breeding as a strategy for increasing adoption of new cassava varieties for both food and industry. However, only few samples can be quantified, limiting the gains in breeding. A database of 115 clones was used to evaluate the potential of Near infrared spectroscopy to predict starch content in cassava. Starch content ranged from 21.48 to 73.97% dry basis. The performance of standard normal variate and de-trend with second derivative calculated on two data points and smoothing plus combination of standard multiplicative scatter correction with second derivative calculated on two data points and smoothing were the best fit mathematical treatments for the calibrations developed. Near infrared spectroscopy predictions for starch content (R2 = 0.85, and r2 = 0.55) developed were reliable, thus usable for screening of cassava starch content at early stages of breeding.

Progress in plant tolerance to the fungal disease Sclerotinia in breeding experiments on winter oilseed rape

Summary Sclerotinia sclerotiorum is a pathogen which causes a disease of oilseed rape. Severe plant infection contributes to a decrease in the quality of the crop. It is therefore important to pay attention to whether hybrids are highly tolerant to this fungal disease at the early stages of breeding. In this study, the question of interest is whether there has been progress in increasing the tolerance of new hybrids to this pathogen. Three years of breeding experiments (2014, 2015, 2017) are included in the analysis. Each year, three to five experiments were carried out, with several dozen varieties and three standards. Each series of experiments was repeated in several locations. Because the degree of infection was assessed on a scale (from 1 – the highest infection – to 9 – the least infection), the analysis is carried out using an ordinal logistic model. It is noted that in earlier years the standard varieties’ probability of infection with this disease had a smaller range (empirical probability 0.5–0.83) than in the last analyzed year (empirical probability 0.33–1.00). The results of the analysis show that in 2014 and 2015 several hybrids exhibited a significantly higher tolerance to Sclerotinia, but in 2017 none of the hybrids were significantly better than the standard. Perhaps breeding selection of hybrids has eliminated the less tolerant varieties. However, to be able to draw more general conclusions, it would be necessary to repeat the study in controlled conditions (a greenhouse), where the level of fungal spores and their effect on plants could be controlled. Obtaining tolerant hybrids will enable a reduction in production costs, since there will be no need to monitor whether disease infestation occurs and no need to use corresponding plant protection products.

Optimizing selection of wheat genotypes through simulated individual BLUP and modified simulated individual BLUP

AbstractThe early stages of wheat breeding programs often contain large number of plants in segregating populations that must be selected. Selecting the best populations and plants in those stages is not an easy task, making it necessary to use robust methodologies that facilitate the selection process. The goals of this work were to evaluate different methods for the selection of individual plants in early wheat breeding stages, compare the efficiency of each method, and suggest the most suitable one for implementation in wheat breeding programs. An experiment with 56 F2 segregant populations derived from a complete diallel, together with eight parents, was conducted and evaluated for grain yield (g pL−1). Analysis of variance and mixed model analysis were applied to obtain the genetic parameters and predict genotypic values. Four selection strategies were designed: mass selection and other three mixed model‐based methods (individual best linear unbiased prediction [BLUPI]; simulated individual best linear unbiased prediction [BLUPIS]; and modified simulated individual best linear unbiased [BLPISM]). The genotypic variability among and within populations allowed the selection of superior genotypes. Simple linear regression analysis and Spearman correlation analysis allowed to conclude that BLUPIS and BLUPISM are equivalent to BLUPI. The BLUPIS and BLUPISM should be used because they easily indicate for the selection of plants in populations with positive genetic effects, dismissing the evaluation of individual plants.

Prevalence and distribution of antibiotic resistance in the water environment of sea bass (Lateolabrax maculatus) breeding area in spring in South China

Antibiotic resistance represents a global health crisis for humans, animals, and the environment. However, few studies address the abundance and distribution of the environmental bacterial antibiotic resistance associated with farmed fish during the early breeding stages and their relationship with aquaculture environment. In this study, culture-dependent methods and gene chip technology were respectively used to identify and detect cultivable heterotrophic antibiotic resistant bacteria (ARB) and antibiotic resistance genes (ARGs) of water samples from 20 sea bass-rearing ponds in spring in Zhuhai, China. Meanwhile, the relationships among ARGs, ARB, and water nutrients were elucidated. The results showed that bacterial resistance to erythromycin and sulfamethoxazole with trimethoprim was generally high (mean 48.15% and 18.07%, respectively), whereas resistance to rifampicin, florfenicol, ciprofloxacin, and enrofloxacin was generally low (mean 5.46%, 2.16%, 1.43%, and 0.16%, respectively). Acinetobacter sp. (42.31%) and Pseudomonas sp. (25.74%) were the dominant ARB, and most cultivable ARB were opportunistic pathogens. The abundance of sul family genes was higher than that of other tested ARGs. ARGs and ARB were mainly affected by NO3– and PO43–, with PO43– generally positively correlated, whereas NO3– was negatively correlated, with ARGs and ARB. Thus, recommendations for the control of antibiotic resistance risk can be made by understanding the resistance profile of the aquaculture environment.

Поліморфізм мікросателітних локусів хромосоми 5H ячменю (Hordeum vulgare L.) і асоціації алелів з морозостійкістю

Barley (Hordeum vulgare L.) is a crop of great economic importance for many countries of the world, including Ukraine. One of the main reason limiting barley production in different regions of Ukraine is low-temperature stress. Prediction of frost resistance in the development and choice of resistant genotypes is one of the main tasks of the breeding. Applying the tools of molecular genetic analysis involves increasing the efficiency of traditional methods of identification and genotype screening with the necessary traits in a specific climatic area. The 5H chromosomal loci are a component of a complex system of genes involved in the formation of resistance to low negative temperatures. The polymorphism and allele distribution of nine microsatellite loci in chromosome 5H, which are localisation in the region of the key NT- resistance genes Fr-H1, Fr-H2 and close to these regions in 35 varieties of the autumn barley collection, were studied. Allelic polymorphism with the presence of two (UMB702) to five (Bmag0223) alleles was detected at the loci Bmag0223, Bmag0323, Bmag0760, GMS061 and UMB702. The frost resistance of 31 varieties with different durations of hardening was evaluated and essential differences between them were noted for this feature. According to the results of the analysis of polymorphism of microsatellite loci and data on evaluation of varieties for frost resistance, the connection of allelic differences of four out of five polymorphic loci with the level of frost resistance and hardening rates was revealed. Reliable associations were established between the presence of alleles Bmag0223, Bmag0323, Bmag0760, GMS061 and indicators of the level of frost resistance. Allelic differences at the UMB702 locus were not associated with differences in any of the traits. Alleles of the microsatellite locus Bmag0223 are recommended for negative choice of less frost-resistant barley genotypes at the early plant breeding stages.

Identification of the key morphological sweetpotato weevil resistance predictors in Ugandan sweetpotato genotypes using correlation and path‐coefficient analysis

AbstractSweetpotato weevils (SPWs) can cause up to 100% yield losses in sweetpotato (Ipomoea batatas). Nevertheless, there has been limited success in breeding for SPW resistance globally. This is attributed partly to difficulty in screening for resistance because resistance to the SPW is complex and is mediated by several resistance indicators. Measuring all these resistance indicators is costly and time consuming. To enhance efficiency in selection for SPW resistance, there is need to profile and identify key resistance indicators. Potentially, this will better enable breeders to timely and precisely select for SPW resistance. The objective of this study was to identify the most efficient morphological resistance indicators against SPW. Thirty sweetpotato genotypes that varied in resistance to SPW comprising local collections, released varieties, and breeding lines were evaluated at three locations for two seasons in Uganda using an alpha lattice design. Data were collected on storage root yield, SPW root and stem damage, and weevil resistance indicators such as vine vigor (VV), ground cover (GC), vine weight (VW), storage root neck length (NL), latex content, cortex thickness (CT), and dry matter content (DM). Genotype means for all measured traits varied significantly except for CT. Negative relationships were observed between SPW root damage and GC, VW, CT, VV, NL, and DM. However, path coefficient analysis showed storage root NL (direct effect of −0.43, p &lt; 0.001) as the most important morphological resistance indicator. Therefore, NL could be the most reliable predictor of resistance to SPW among breeding clones, especially at early breeding stages.

Yield and grain quality parameters in domestic and foreign varieties of soft winter wheat

Topicality. One of the main indicators that determine the commercial value of wheat grain, its baking and technological properties is the mass fraction of protein. The results of scientific research and agricultural production practices show that over the past 80–90 years in the southern regions of Ukraine, the protein content of winter wheat grain has decreased from 17–18 % to 10–12 %, and in unfavourable weather conditions, the amount of protein in grain can even decrease to 8.0–9.5 %. Improving the wheat grain quality is one of the challenges facing Ukraine today. Ukraine has a high position in the global grain market: its share in wheat exports averages 5 %. Purpose. To estimate the yield and biochemical parameters of grain quality of soft winter wheat at the current stage. Methods. Field trials were conducted according to the B. A. Dospekhov’s methodology of field experience. Agricultural technology of winter wheat cultivation is generally accepted for the Steppe zone of Ukraine. Accounting the yield was carried out according to the methodology of state variety testing the agricultural crops. The protein content in the grain was determined by infrared spectrometry and the Kjeldahl method. The level of protein sedimentation was determined by the SDS 30 method. Results. When comparing the obtained data on yield in the collection, it was found that modern domestic and foreign varieties (I, II, III group) in the optimal conditions of growing season had an average yield of 103–107 % higher than varieties of early stages of breeding. The soft winter wheat varieties developed by the Plant Breeding and Genetics Institute – National Center for Seeds and Cultivar Investigation are the leaders in terms of yield. Foreign varieties are not sufficiently adapted to local weather conditions, which significantly affects the realisation of yield potential. As a result of the negative correlation between yield and grain quality, with each stage of breeding, including in modern varieties, grain protein content decreases by 0.5–1.5 % along with yield growth. In terms of sedimentation level, the varieties of the Plant Breeding and Genetics Institute – National Center for Seeds and Cultivar Investigation prevail over the varieties of the early stages of breeding. The group of varieties of Ukrainian breeding has a great diversity in terms of sedimentation level. Foreign varieties have rather low sedimentation rates. The realisation of the genetic potential of grain yield and quality of the studied varieties depended on weather conditions and doses of mineral fertilisers. Conclusions. Given the negative correlation between yield and grain quality, the significant success of breeding in increasing the yield of Ukrainian and foreign varieties was accompanied by decreasing protein content at each stage of breeding by 0.5–1.5 %. Compared to the varieties of the early stages of breeding, the SDS-30 sedimentation index was the highest only in the varieties of Plant Breeding and Genetics Institute – National Center for Seeds and Cultivar Investigation, while domestic varieties of other research institutions were slightly inferior to the varieties of the early stages of breeding. The group of foreign varieties had the lowest sedimentation index. In addition to the genetic factor, such factors as weather conditions and rates of mineral nutrition have a great influence on the formation of grain yield and quality. Key words: wheat yield, wheat adaptability, grain protein content, sedimentation, fertilizers, biochemical parameters

Potential negative effects of the installation of video surveillance cameras in raptors’ nests

Video surveillance cameras installed on birds’ nests are a cost-effective tool to study many aspects of ecology and behaviour that would otherwise be practically impossible to obtain. However, although most studies report neutral effects of cameras on birds, very few studies analyse in detail the potential negative effects of their use, particularly on raptors. Here, using a long-term database of a population of Bonelli’s eagle (Aquila fasciata) collected from 2000 to 2022, I show how the inappropriate use of video surveillance cameras could result in negative effects on the reproduction of a threatened species through a before-and-after control-impact study design. Pairs under video surveillance showed lower productivity, lower breeding success and unusual delayed laying dates. The installation of cameras close to the laying date, coinciding with the mating phase of individuals, most of them subadult inexperienced birds; in combination to the reiteration of visits to the nests once the cameras were installed to check the system, particularly during the incubation period and early stages of breeding; and the installation of cameras in a particular area subject to constant human disturbance, might explain these results. Potential management actions to mitigate the effect of the installation of video cameras on birds’ behaviour should include the need to plan the intervention dates, testing the systems beforehand under controlled conditions and adequate post-installation monitoring to avoid unnecessary disturbance to animals. Finally, I urge the scientific community to report the potential negative effects observed in their studies, especially if the target species are threatened with extinction.

Assessment of Garlic Production Constraints and Trait Preferences in Garlic Cultivar Development in Two Woredas, Sidama Region, Ethiopia

Garlic (Allium sativium L.) is the major food and cash crop in the highland regions of Ethiopia. However, farmers are not integrated into the garlic breeding process. The objectives of this assessment were to identify farmers’ key garlic production constraints and establish preferred traits in garlic cultivar development in the two woredas of Sidama Region (Ethiopia). A participatory rural appraisal (PRA) study was conducted through a structured survey involving 36 households in Malga and Gorche woredas. A structured survey used a questionnaire which was administered to farmers to collect information on key production constraints, varieties of garlic seed used for production, seed source etc., according to the assessment result of this study, the cultivar used for garlic production is the local variety in the two woredas. Hence, the most important garlic production constraints are lack of high yielding cultivars, garlic disease and insects. To conclude active farmer participation in early breeding stages is critical for a successful garlic breeding program. Based on the assessment it is possible to recommend that high yielder garlic variety, disease tolerance, insect resistant and cultivars having high dry matter content are the most important parameters preferred by farmers, which helps them to produce maximum products and serve as a source of income to many rural farmers.

Combining NDVI and Bacterial Blight Score to Predict Grain Yield in Field Pea.

Field pea is the most commonly grown temperate pulse crop, with close to 15 million tons produced globally in 2020. Varieties improved through breeding are important to ensure ongoing improvements in yield and disease resistance. Genomic selection (GS) is a modern breeding approach that could substantially improve the rate of genetic gain for grain yield, and its deployment depends on the prediction accuracy (PA) that can be achieved. In our study, four yield trials representing breeding lines' advancement stages of the breeding program (S0, S1, S2, and S3) were assessed with grain yield, aerial high-throughput phenotyping (normalized difference vegetation index, NDVI), and bacterial blight disease scores (BBSC). Low-to-moderate broad-sense heritability (0.31–0.71) and narrow-sense heritability (0.13–0.71) were observed, as the estimated additive and non-additive genetic components for the three traits varied with the different models fitted. The genetic correlations among the three traits were high, particularly in the S0–S2 stages. NDVI and BBSC were combined to investigate the PA for grain yield by univariate and multivariate GS models, and multivariate models showed higher PA than univariate models in both cross-validation and forward prediction methods. A 6–50% improvement in PA was achieved when multivariate models were deployed. The highest PA was indicated in the forward prediction scenario when the training population consisted of early generation breeding stages with the multivariate models. Both NDVI and BBSC are commonly used traits that could be measured in the early growth stage; however, our study suggested that NDVI is a more useful trait to predict grain yield with high accuracy in the field pea breeding program, especially in diseased trials, through its incorporation into multivariate models.

Speed breeding to accelerate crop improvement

Global food security has become a major issue as the human population grows and the environment changes, with the current rate of improvement of several important crops inadequate to meet future demand. Crop plants have extended generation times, which contributes to the slow rate of progress. However, speed breeding has revolutionized the entire world by reducing generation time and speeding up breeding and research programs to improve crop varieties. In the absence of an integrated pre-breeding program, breeding new and high-performing cultivars with market-preferred traits can take more than ten years. After the first cross with parental genotypes, a large amount of time, space, and resources are committed to the selection and genetic advancement stages during the early stages of breeding. Speed breeding has the ability to shorten the time it takes to develop, market, and commercialize cultivars. Crop improvement in the face of a fast-changing environment and an ever-increasing human population is a major concern for scientists around the world. Current crop enhancement projects are progressing at a rate that is insufficient to meet food demand. Crop redesign is urgently needed for climate resilience, as well as long-term yield and nutrition. Crop progress is slowed significantly by the long generation time required by crop plants during the breeding process. Speed breeding is now being used on a large scale to shorten generation time and support multiple crop generations per year as a solution in this approach. Researchers are now using an integrated approach to improve breeding efficiency, combining speed breeding with current plant breeding and genetic engineering methods. Speed breeding is a promising approach for achieving nutritional security and sustainable agriculture by shortening breeding cycles for food and industrial crop enhancement. Speed breeding is a methodology that allows plant breeders to improve crop production by adjusting temperature, light duration, and intensity to boost plant development. It uses an artificial source of light, which is kept on continuously, to activate the photosynthetic process, which leads to growth and reproduction much earlier than normal. This will assist in meeting the demands of the future’s rising population. This can be accomplished using a variety of technologies, including genotyping, marker-assisted selection, high throughput phenotyping; gene editing, genomic selection, and re-domestication, all of which can be combined with speed breeding to allow plant breeders to keep up with a changing climate and growing human population.

Amplified Fragment Length Polymorphism based Genetic Diversity of Tropical Legume: Lablab purpureus var. typicus

Background: Lablab purpureus L. is a legume appropriate to grow in tropical environment as it is adaptable to a broad temperature spectrum, rainfall and altitudes. It develops well under humid and warm conditions at temperatures ranging between 18oC and 30oC. It is a drought hardy crop grown in humid and semi-arid regions. The species is propagated by seed and can be sown alone or intercropped; planted near hedges or near other less leafy plants to climb on. Lablab purpureus L. has a flowering response of short-day, with early and late flowering types. Some landraces flower after sowing as early as 55 days. It is predominantly self pollinated although some out crossing is known to occur. Methods: In this study, Lablab purpureus L. genetic diversity were analyzed utilizing AFLP markers on ten Indian Lablab purpureus L. accessions at Department of Botany, Bundelkhand University, Jhansi during 2019-20. Five primers set were used for checking the diversity in Lablab purpureus L. and the marker performance were measured by using 4 parameters i.e. PIC, Mean resolving Power, Resolving Power and MI. Result: A total of 52 bands were generated, of which 45 bands (88.46%) were polymorphic which varies from 6 (M-CAT/E-ACT ) to 13 (M-CAC/E-ACC, M-CAC/E-ACT) with mean of 9.00 bands per primer. The PIC value ranges between 0.55 and 0.76 with a mean value of 0.64. The average value of matrix index is 3.04. Higher the MI, better the marker is. The value of RP ranges between 2.60 and 7.80 with a mean value of 4.68. In the UPGMA dendrogram, the 10 accessions were separated into two main clusters with all the primers used. In this study, we have shown that molecular markers can be used successfully to understand the genetic structure of the accessions of Lablab purpureus L. and identified a series of sequence-specific markers that potentially could be used in Lablab purpureus L. genetic mapping analyses. Since Lablab purpureus L. has been considered as a promising crop because of its wide spectrum of adaptability to different ecological conditions than other legumes, participatory evaluation at an early breeding stage could shape the variety being developed to increase the productivity and other traits as well as for utilization as food.

Marker-Assisted Pyramiding of Genes for Multilocular Ovaries, Self-Compatibility, and Clubroot Resistance in Chinese Cabbage (Brassica rapa L. ssp. pekinensis)

Molecular marker-assisted gene pyramiding combined with backcrossing has been widely applied for crop variety improvement. Molecular marker identification could be used in the early stage of breeding to achieve the rapid and effective pyramiding of multiple genes. To create high-quality germplasm for Chinese cabbage breeding, multi-gene pyramiding for self-compatibility, multilocular, and clubroot resistance was performed through molecular marker-assisted selection. The results showed that self-compatibility and multilocular traits were controlled by a pair of recessive genes. Two flanking markers, sau_um190 and cun_246a, and marker Teo-1, based on the gene sequence related to multilocular ovaries, were used for multilocular ovary trait selection. Two flanking markers, SCF-6 and SC-12, and marker Sal-SLGI /PK1+PK4, based on the gene sequence, were used for self-compatibility selection. Two flanking markers, TCR74 and TCR79, closely linked to clubroot resistance gene CRb, were used as foreground selection markers. Based on Chinese cabbage genomic information, 111 SSR markers covering 10 chromosomes were applied for background selection. After multiple generations of selection, a multi-gene pyramided line from a BC4F2 population with self-compatibility, multilocular ovaries, and clubroot resistance was obtained with a high genomic background recovery rate. The improved pyramided line is expected to be utilized as a potential material in further breeding programs.