Number Of Seeds Research Articles

Adaptation strategies of Heracleum sosnowskyi in Ukrainian Polissia

Heracleum sosnowskyi is an invasive transformer species dangerous for biodiversity and human health. The materials for this study were the standard geobotanical descriptions made on the territory of Ukrainian Polissia in the period from 2004 to 2022. The relevés were classified using the Braun-Blanquet methods and used for synphytoindication evaluation of the environmental factors, rating ecofactors, estimated based on the ecological scales of the species that form a phytocoenosis. Heracleum sosnowskyi was observed to occur in plant communities belonging to 13 classes, 16 orders, 21 alliances, and 29 associations. According to the synphytoindication, it most often grew in mesophyte, hemihydrocontrasthophobic (moderately moistened habitats that are sporadically moistened), subacidophilic, semieutrophic, acarbonataphilic, nitrophilic, hemiaerophobic (moderately aerated habitats), submicrothermal (habitats that receives 20–30 kc/sm2), subombrophytic, hemioceanic, subcryophytic (habitats with the average temperature of the coldest month of the year is approximately –8), semi-illuminated, euhemerobic (habitats that have been altered or created by humans and are under anthropogenic influence) habitats. The competitive advantages of Sosnowsky's hogweed over the native species are the combination of the ability to change r and K strategies, depending on the environmental conditions, with the production of a large number of seeds that are dispersed from a tall peduncle, maintaining a significant germination rate for several years, and allelopathy and efficient assimilation of nitrogen compounds, which helps it to increase the size of the shoot. Ruderal and natural grass ecosystems are the most vulnerable to the penetration of H. sosnowskyi in the early stages of autogenic succession (value of natural dynamic was 3.0–4.0 points). The highest projective cover and the density of its population were observed in the nitrified forest edges of associations Elytrigio repentis-Aegopodietum podagrariae var. Heracleum sosnowskyi (value of natural dynamic was 4.0–7.0 points). Forest ecosystems with multi-tiered vegetation (value of natural dynamic was above 9.5 points) and meadows with thorough sod (value of natural dynamic was above 4.8 points) were less vulnerable to invasions. At the same time, disruptions of the completeness of the tree stand or the integrity of sod created additional opportunities for the species to invade the territory. Once penetrating into natural or ruderal ecosystems, H. sosnowskyi most often transforms their autotrophic blocks into a variant of association Agropyretum repentis var. Heracleum sosnowskyi of class Artemisietea vulgaris, which is a more favorable phytocenosis for its intensive reproduction and spread. The results of the study can be used to prevent the spread of H. sosnowskyi.

Using Decomposed Error for Reproducing Implicit Understanding of Algorithms.

Reproducibility is important for having confidence in evolutionary machine learning algorithms. Although the focus of reproducibility is usually to recreate an aggregate prediction error score using fixed random seeds, this is not sufficient. Firstly, multiple runs of an algorithm, without a fixed random seed, should ideally return statistically equivalent results. Secondly, it should be confirmed whether the expected behaviour of an algorithm matches its actual behaviour, in terms of how an algorithm targets a reduction in prediction error. Confirming the behaviour of an algorithm is not possible when using a total error aggregate score. Using an error decomposition framework as a methodology for improving the reproducibility of results in evolutionary computation addresses both of these factors. By estimating decomposed error using multiple runs of an algorithm and multiple training sets, the framework provides a greater degree of certainty about the prediction error. Also, decomposing error into bias, variance due to the algorithm (internal variance), and variance due to the training data (external variance) more fully characterises evolutionary algorithms. This allows the behaviour of an algorithm to be confirmed. Applying the framework to a number of evolutionary algorithms shows that their expected behaviour can be different to their actual behaviour. Identifying a behaviour mismatch is important in terms of understanding how to further refine an algorithm as well as how to effectively apply an algorithm to a problem.

Rice seed classification by hyperspectral imaging system: A real-world dataset and a credible algorithm

Rice is one of the three major crops in the world. The hyperspectral identification of rice seeds is of great significance to the development of agriculture and hence has made remarkable achievements. However, the lack of publicly available benchmark datasets with a large number of rice seeds hinders the generalization of models and limits the advancement of the field. To address this issue, this study proposes a publicly accessible dataset for rice seed classification by hyperspectral imaging system. The proposed dataset contains 6 categories of nearly 10,000 seeds each and is characterized by (1) a large scale on the number of seeds per category and the total seed number; (2) a greater adherence to real-world scenarios; and (3) high intra-class diversity and high inter-class similarity. Based on the proposed dataset, an Instance Difficulty-weighted K-Nearest Neighbor algorithm (IDKNN) is further proposed. It is a credible algorithm, emphasizing individual seed accuracy rather than overall performance. Additionally, we explore the effects of different Regions Of Interest (ROI). Experimental results constitute the baseline performance of the proposed dataset. Compared with 10 representative algorithms, the IDKNN algorithm achieves the best performance, especially on the ROI of the entire seed. The dataset can be downloaded from https://github.com/fliery/RSHI60T.

Pollen Viability, and the Photosynthetic and Enzymatic Responses of Cowpea (Vigna unguiculata (L.) Walp., Fabaceae) in the Face of Rising Air Temperature: A Problem for Food Safety

Rising temperature affects agricultural production, causing food insecurity. Thus, the objective of this study was to evaluate how increased temperature influences pollen viability, photosynthetic and enzymatic responses, and their consequences on the final yield of cowpea cultivars. The cultivars BRS Acauã, BRS Guariba, BRS Gurguéia, and BRS Pajeú were used, kept in growth chambers under two temperature regimes: 24.8–30.8–37.8 °C and 20–26–33 °C. The cultivars BRS Acauã, BRS Guariba, and BRS Pajeú showed prolonged flowering and greater flower abortion, at 23.58%, 34.71%, and 25.55%, respectively, under an increase of 4.8 °C in temperature. This increase also reduced the viability of BRS Acauã and BRS Pajeú pollen by 34 and 7%, respectively. Heating increased stomatal opening and transpiration but reduced chlorophyll content. The enzymatic response varied according to cultivars and temperature. Changes in photosynthetic and enzymatic activities contribute to reducing pollen viability and productivity. BRS Acauã was the most affected, with an 82% reduction in the number of seeds and a 70% reduction in production. BRS Gurguéia maintained its production, even with an increase of 4.8 °C, and can be selected as a cultivar with the potential to tolerate high temperatures as it maintained pollen viability, with less flower abortion, with the synchrony of physiological and biochemical responses and, consequently, greater production.

Effect of Organic Manures and Bio-Fertilizers on Growth, Yield and Quality of Kharif Cowpea [Vigna unguiculata (L.)

A field experiment was conducted at Agronomy Instructional Farm of SDAU, Sardarkrushinagar, Gujarat, India during kharif season of 2020-2021. The experiment consisting nine treatments viz., T1-Absolute control, T2-100% RDF (20 kg N + 40 kg P2O5 ha-1), T3- FYM @ 5.0 t ha-1, T4-FYM @ 2.5 t ha-1 + Rhizobium + PSB, T5-vermicompost @ 2.0 t ha-1, T6-vermicompost @ 1.0 t ha-1 + Rhizobium + PSB, T7-castor cake @ 2.0 t ha-1, T8-castor cake @ 1.0 t ha-1 + Rhizobium + PSB, T9-Ghan Jeevamrut @ 250 kg ha-1 at sowing time + Seed treatment with Beejamrut @ 200 ml kg-1 seed+ Jeevamrut @ 500 lit ha-1 with irrigation at sowing and 30 DAS were tested in randomized block design with four replications. The result revealed that the application of T8-castor cake @ 1.0 t ha-1 + Rhizobium + PSB showed significant improvement on plant height, number of branches per plant, dry matter accumulation, number of pods per plant, number of seeds per pod, length of pod and seed yield per plant whereas, application of T4-FYM @ 2.5 t ha-1 + Rhizobium + PSB gave significantly higher number of root nodules per plant, fresh and dry weight of root nodules. it is concluded that higher yield from kharif cowpea could be obtained by applying either castor cake @ 1.0 t ha-1 or FYM @ 2.5 t ha-1 along with Rhizobium + PSB in loamy sand soils of North Gujarat.

Fruit and seed morphometry and seed structure of the potentially invasive Calotropis procera (Aiton) W.T. Aiton (Apocynaceae)

Background: Calotropis procera is a plant native in the tropics and subtropics of Asia and Africa. In Mexico, its presence is now registered in Yucatán, Quintana Roo and Oaxaca.
 Questions and / or Hypotheses: Fruit and seed morphometry vary among places where it is native or exotic? Are seed structures well identified in Calotropis procera?
 Studied species: The exotic Calotropis procera has been already reported in several states in Mexico, however, information about its reproductive biology in Mexican populations is scarce. 
 Studied site and dates: Fruits were collected in Oaxaca, Mexico in September 2019.
 Methods: We obtained fruit and seed morphometric data and seed images with microscopy.
 Results: The fruits are green and ovoid. The average number of seeds per fruit is 364 ± 86 (SD). The seed is brown and flattened dorsoventrally. The length of the seeds is 8.37 ± 0.413 mm, the width is 5.01 ± 0.39 mm, and the weight is 10.5 ± 7.86 mg. The position of the hilum and the micropyle is reported and the occurrence of two types of trichomes on the testa. We suggest that the protrusion on the ventral surface of the seed is the raphe.
 Conclusions: From data obtained we concluded that fruit and seed characteristics are well conserved in this species. We confirmed the position of the hilum and micropyle and reported the presence of two types of trichomes in the testa. Location of the raphe is suggested, providing information that may be useful for future taxonomic studies.

Damage caused by Leptoglossus occidentalis Heidemann (Hemiptera: Coreidae) on Pinus pinea L. cones varies with feeding season

Abstract The commercialization of pine nuts generates major economic benefits for the Mediterranean basin. This has been reduced due to an increase in cone and seed damage associated with the spread of the western conifer seed bug (WCSB) throughout the Mediterranean region and the Dry Cone Syndrome appearing on pine cones. Studies on several conifer species have associated cone and seed damage with WCSB feeding. To relate cone and seed damage of stone pine to WCSB feeding, one exposure and exclusion trial of cones to the feeding of the natural WCSB population was carried out. To determine the seasonality of cone and seed damage caused by this pest, another trial consisting of bagging cones with insects was performed with first‐, second‐ and third‐year cones at different stages of cone development. The natural WCSB population was associated with cone abortion in second‐year cones (unprotected: 43.6% vs. protected: 2.7%), a decreased number of seeds per cone (82.0 vs. 105.3), kernel yield (1.8% vs. 3.8%) and proportion of sound kernels (35.6% vs. 73.6%), and numerous types of kernel damage. Cone mortality in first‐ and third‐year cones bagged with insects decreased as the bagging date advanced. A temporal sequence of kernel damage in third‐year cones (aborted, dry embryo without endosperm, and totally or partially damaged endosperm) was reported for seed development and the timing of WCSB feeding. Our findings may be useful in the management of WCSB populations to prevent significant damage to the stone pine nut crop.

Effect of Organic Manures and Inorganic Fertilizer on Growth and Yield Characters of Lentil

A field experiment was conducted at experimental farm, during Rabi season of 2022-23 to Effect of organic manures and inorganic fertilizer on growth and yield characters of lentil. Seed rate 40-45 kg/ha of Lentil variety „ RLG-5‟ was used in this study. The required quantities of fertilizers as per treatments were applied. The experiment was laid out in randomized block design with three replications consisting of nine treatments combinations i.e. T1-Control, 100% RDF (20:40:20:20 N P K S kg/ha), 50% RDF + 5t FYM, 75% RDF + FYM (2.5 t/ha), 50% RDF + Vermicompost (1 t/ha), 75% RDF + Vermicompost (0.5 t/ha), 50% RDF + Poultry manure (1 t/ha), 75% RDF + Poultry manure (0.5 t/ha), 75% RDF + FYM 2.5t + Rhizobium. The increased growth parameter such as plant height (cm), number of branches per plant and dry matter production and yield traits viz., number of pods per plant, number of seeds per pod, test weight Seed yield (q/ha), straw yield (q/ha) harvest index of 75% RDF + Poultry manure (1 t/ha).

Sugarcane exudates as nitrification inhibitors; improvement of soybean nitrogen recovery and yield by reducing soil nitrification and N2O emission using 15N tracing techniques

BNI (biological nitrification inhibition) derived from root exudates is typically used in rotation cropping systems to increase the crop nitrogen efficiency (NUE). Recently, the root exudates secreted by three sugarcane varieties in Thailand have been found to inhibit the nitrification and accumulation. The objective of the study was to evaluate the effectiveness of the sugarcane root exudate on (i) soil nitrification rate and N dynamics (soil mineral N and nitrous oxide (N2O) emission) and (ii) growth, yield, and 15N recovery by soybean under greenhouse conditions. The experiment was laid out as a randomized complete block design (RCBD), with five treatments and four replications: (i) N fertilizer (Control); (ii) Control + Uthong 13 sugarcane root exudate (UT13); (iii) Control + Khon Kaen 3 sugarcane root exudate (KK3); (iv) Control + wild cane sugarcane root exudate (Spone) and (v) Control + dicyandiamide (DCD). 15N fertilizer was applied to a micro-plot for 15N recovery. Soybean was planted and fertilized at 75 kg ha−1 N as (NH4)2SO4. Soil samples were collected at 1, 3, 7, 14, 21 and 28 days after N fertilization (DANF) for pH, potential nitrification rate (PNR), NH4+, NO3− and MBN measurement at 0–15 and 15–30 cm soil depths. A gas sample was collected by the soil chamber technique for an N2O emissions study on the soil sampling date. The soybean growth was monitored at 30 and 60 DAP (days after planting) for height, leaf area, leaf area index (LAI), SCMR and dry weight (DW). At soybean harvest, seed yield, yield components and N uptake were recorded. Our study revealed that the sugarcane root exudates significantly decreased PNR up to 14 DANF and increased NH4+ content in soil and reduced commutative N2O–N fluxes after 14 DANF, compared to N treatment (p < 005). The root exudate treatments not only increased growth (total DW and LAI at 60 DAP), yield (number of pods and seeds per plant) and N uptake (17–19%) but also 15N recovery in the total plant. This confirms the capacity of BNIs from sugarcane root exudates. In conclusion, sugarcane root exudates can effectively mitigate N2O emissions and enhance soybean N uptake under greenhouse conditions.

Inducing the Growth and Yield of Mungbeans Applied with Different Level of Concentrations of Bio-Stimulant Solutions

The study sought to determine the effects of different levels of concentrations of bio-stimulant solution (BSS) in inducing the growth, flower, and yield of mung bean. The study was conducted at UNO-R School of Agriculture, Philippines last February to April 2022. Pag-asa 3 variety was used as planting material. The study was laid out in RCBD) with four treatments and replicated 4 times. The BSS was diluted in water and applied 6 inches from the base of the plant as per research protocol. Statistical analysis revealed highly significant differences among treatments in growth parameters such as plant height and leaf area index (LAI) at 35DAS. Likewise, there was high significant difference among treatments on the days to 50% flowering of the plant. Furthermore, results showed highly significant differences among treatments in the number of pods per plant, pod weight per plant, number of seeds per pod, 100 seed weight, and yield of mung bean. For the highest plant height, LAI, and period of flowering they were obtained from plants applied with 150ml BSS, followed by 100ml BSS, and 50ml BSS. On the other hand, untreated plants have the shortest height, narrower leaves, and late in flower initiation. Mung bean pods per plant were great in number, heavier in weight from plants treated with 150ml BSS among the other treatments, the most number of seeds per pod, and the heaviest per 100-seed weight as well as the highest seed yield per hectare. This study recommends the use of 150ml BSS in inducing the growth and higher yield of mung bean plant production.

The risk of dandelion invasion

Dandelion originated in the Mediterranean coastal region, under suitable conditions, its seeds can spread and spread with the wind, and there are a large number of seeds. This article uses the WINDISPER-L model to analyze the propagation distance of seeds under different settling rates, settling heights, and wind speeds. And it was considered that the number of seeds and inflorescences may vary due to random factors such as climate during different growth cycles. After four growth cycles, most of the dandelion falls about 30 meters away from its mother body and grows and reproduces normally. Subsequently, when establishing a risk assessment system for invasive species, three aspects were considered: the characteristics of the species themselves, the natural environment, and human activities. The Analytic Hierarchy Process (AHP) was used to assign weights to indicators at each level, and ultimately all indicators at all levels passed the consistency test. And use a risk assessment system to calculate the potential risks that may arise from the invasion of dandelion, Canadian Solidago, and Ambrosia trifida. This can provide some inspiration and reference for corresponding managers in evaluating whether a species is an invasive species.

Exploring the impact of light intensity under speed breeding conditions on the development and growth of lentil and chickpea

The use of high-performant varieties could help to improve the production of food legumes and thus meet the demand of the growing world population. However, long periods needed to develop new varieties through traditional breeding are a major obstacle. Thus, new techniques allowing faster genetic advance are needed. Speed breeding using longer periods of light exposure on plants, appears to be a good solution for accelerating plant life cycles and generation turnover. However, applying extended photoperiod causes plant stress and mortality due to lack of information on the adequate intensity to be used in speed breeding protocol. This study examines the impact of light intensity under speed breeding conditions on the development and growth of lentils and chickpeas, with a keen interest in enhancing genetic gain in these key food legumes. Four distinct levels of light intensity (T1: Green-house: 2000 µmol/m2/s; T2: 148–167 µmol/m2/s; T3: 111–129 µmol/m2/s; T4: 74–93 µmol/m2/s) under a photoperiod of 18 h of light and 6 h of darkness were tested in a growth chamber. Significant variation depending on light intensity was observed for plant height, total biomass, number of secondary stems, pods number, number of seeds per plant, growth rate, green canopy cover, time to flowering, time of pod set, time to maturity, vegetative stage length, reproduction stage length and seed filling stage length. Light intensity significantly influenced flowering/maturity and plant’s stress compared to normal conditions in green-house where flowering/maturity were around 67/97 days for lentil and 79/111 days for chickpea. Therefore, lentils in treatment 2 flowered and reached maturity in 30/45 days respectively, with high stress, while chickpeas in the same treatment did not flower. In contrast, treatment 4 showed interesting results, promoting optimal growth with low stress, and flowering/maturity in 27/46 days and 28/54 days, respectively for lentils and chickpeas. These results underline the crucial importance of light management in speed breeding to accelerate vegetative growth and phenology while allowing healthy growth conditions for plants to produce enough seeds for generation turnover.

Effects of Florivory on Floral Visitors and Reproductive Success of Sagittaria lancifolia (Alismataceae) in a Mexican Wetland.

Florivores consume floral structures with negative effects on plant fitness and pollinator attraction. Several studies have evaluated these consequences in hermaphroditic plants, but little is known about the effects on monoecious and dioecious species. We characterize the florivory and its effects on floral visitors and reproductive success in a monoecious population of Sagittaria lancifolia. Five categories of florivory were established according to the petal area consumed. Visits were recorded in male and female flowers within the different damage categories. Reproductive success was evaluated through fruit number and weight, as well as the number of seeds per fruit. Our results show that the weevil Tanysphyrus lemnae is the main florivore, and it mainly damages the female flowers. Hymenoptera were recorded as the most frequent visitors of both male and female flowers. Male and female flowers showed differences in visit frequency, which decreases as flower damage increases. Reproductive success was negatively related to the level of damage. We found that florivory is common in the population of S. lancifolia, which can exert a strong selective pressure by making the flowers less attractive and reducing the number of seeds per fruit. Future studies are needed to know how florivores affect plant male fitness.

Nutrient uptake and nutrient use efficiency of Valencia peanut genotypes with different levels of drought tolerance under terminal drought

Selection of suitable peanut genotypes with resistance to drought is an important strategy to combat problems of drought. This study aimed to investigate nutrient uptake and nutrient use efficiencies of Valencia peanut genotypes in response to terminal drought. A pot experiment was conducted in a factorial randomized complete block design with 4 replications. Factor A consisted of two soil water regimes (field capacity and 1/3 available water), and ten Valencia peanut genotypes were assigned as factor B. Macronutrient uptakes and nutrient use efficiencies (NUE) were examined; drought reduced nutrient uptakes, NUE for biomass and NUE for pod yield. Unique behaviors of some tested Valencia peanut genotypes on given traits were found. Genotype PI536121 had the highest K, Ca and Mg uptakes, while two genotypes ICG10890 and ICG10092 showed the highest NUE for biomass and pod yield. Genotype ICG14127 performed well regarding K, Ca and Mg uptakes and NUE for pod yield. Total nutrient uptakes of N, P, K, Ca and Mg were significantly positively correlated with biomass and pod yield (r = 0.48**–0.76**), whereas the number of seeds per pod and 100-seed weight were positively correlated with total nutrient uptakes of N, K, Ca and Mg (r = 0.23*–0.47**). Three tested genotypes ICG10092, ICG10890 and ICG14127 are promising genetic sources for further improvements of Valencia peanuts for drought tolerance.

Effects of different NPK levels on growth and seed yield of sesame (&lt;i&gt;Sesamum indicum&lt;/i&gt; L) varieties in Bauchi, Nigeria

Sesame is an important oil seed crop which is cultivated in the tropics and subtropics of the world but farmers in the northern guinea savanna zone of Nigeria seldom apply fertilizers to the crop. Trials were conducted during the 2018 and 2019 rainy seasons at the Research Farm of the Abubakar Tafawa Balewa University (ATBU), Bauchi, to study the effects of different levels of NPK on the growth and seed yield of sesame (Sesamum indicum L.) in Bauchi. The experiment was laid out in split plot design consisting of four levels of NPK and 8 varieties of sesame, giving a total of 32 treatment combinations. The varieties were kept in the main plot while NPK levels were assigned to subplots. The parameters assessed include plant height, number of leaves, number of primary branches, number of secondary branches, stem diameter, internode length, dry matter, leaf area, days to 75% flowering and maturity, number of capsules, number of seeds per capsule, number of seeds per locule, one thousand seed weight and seed yield. Results showed significant difference (p&lt; 0.05) on growth, yield and yield attributes of sesame in both years. The different grain yield responses were associated with the differences in NPK levels. Sesame seed yield increased linearly from the application of 75 kg NPK ha-1, 100 kg NPK ha-1 to 125 kg NPK ha-1.&#x0D;

Evaluation of collection specimens of guar (Cyamopsis tetragonoloba L.) by economically valuable traits

For effective introduction of guar into production, it is necessary to use varieties adapted to the Southern Steppe of Ukraine, the creation of which is impossible without well-researched collection material, which is relevant and important. Guar is in high demand globally in the food and oil industries, and most importantly, thanks to its ability to symbiotically fix nitrogen, it improves soil quality in a cost-effective and natural way. However, it is a completely new culture for Ukraine. The purpose of this study was to investigate the gene pool of guar plants and identify the best ones with economically valuable traits. The study used field, laboratory, and statistical methods. The results of the study conducted in 2020-2022 helped to identify the best introduced guar samples in terms of tolerance to hot temperatures and the arid climate of the Southern Steppe of Ukraine. The most adapted to this zone are IU07466 Haldi bhati and IU074658 Pusa Naubahar. They formed the maximum yields: IU07466 Haldi bhati – 262.5 g/m2 , IU074658 Pusa Naubahar – 329.0 g/m2 , which is more than 135% compared to the standard. The above-mentioned samples were characterised by a vegetation period of 133.5 days and 129.5 days, respectively, which, on average, over two years of research, exceeded the duration of the “germination – maturation” period of the standard variety IU074657 Ankur by 4.5-8.5 days. The correlation and regression analysis of the data obtained from the study of the introduced samples of the guar gene pool suggested a direct correlation between the weight of seeds per square metre and the number of beans and seeds per plant. The correlation coefficient is 0.997-0.986, respectively. It is recommended to use the identified sources of valuable traits for further effective implementation in the breeding and research programmes of scientific institutions to create self-pollinated lines, synthetic populations, varieties adapted to the extreme conditions of the Southern Steppe of Ukraine

Growth performance, yield, and proline content of two local cultivars of black rice irradiated by gamma rays for drought resistance

One of the critical effects of climate change on the agricultural environment is drought stress. This study aimed to determine the growth, yield performance, and proline content of black rice local cultivars Bantul, Boyolali mutant M2 at various doses of gamma rays and the proline content of mutant M3 during drought stress. The experiment used a Completely Randomized Design (CRD) with the factor dose of gamma-ray irradiation (0 Gy, 100 Gy, 200 Gy, and 300 Gy), applied in both paddy fields and polybags to observe and compare the growth, yield, and proline content of black rice plants with the control treatment (0 Gy). Laboratory test results showed that Boyolali and Bantul cultivars irradiated at 100 Gy and 200 Gy, had the highest proline content, which increased under drought stress conditions in both cultivars. At 100 Gy, the average plant height and the number of productive tillers of black rice of Boyolali and Bantul cultivars were the highest, and the diversity of the two local cultivars at this dose was higher than at other irradiation doses. Applying 100 Gy and 200 Gy gamma-ray irradiation doses on the Boyolali cultivar significantly affected the panicle length character and the number of seeds per panicle. For the Bantul cultivar, panicle length and the number of seeds per panicle at an irradiation dose of 200 Gy showed significantly different results. The conclusion is that a reduced amount of gamma-ray irradiation can enhance the growth, yield, and proline content of M2 black rice

Evaluation of Genetic Parameters for Yield and its Attributing Traits in Green gram [Vigna radiata (L.) Wilczek

A study was conducted employing twelve quantitative traits viz., days to 50% flowering, days to maturity, plant height(cm), number of branches per plant, number of clusters per plant, number of pods per cluster, pod length(cm), number of seeds per pod, 100 seed weight(g), harvest index, biological yield per plant and seed yield per plant (g) on 40 green gram genotypes with the intent to uncover the genetic variability, heritability and genetic advance. Significant variance was found for each characteristic when using simple descriptive statistics. High PCV and GCV estimates was noticed for number of pods per plant, seed yield per plant, number of cluster per plant and number of pods per cluster. Days to 50% flowering, plant height, number of branches per plant, number of clusters per plant, number of pods per plant, pod length, number of seeds per pod, 100 seed weight, biological yield per plant and seed yield per plant showed high heritability with high genetic advancement based on a study of genetic variability, suggesting that additive gene action predominates. It will be beneficial to select for these traits.

Enumerating Valid Non-Alpha-Equivalent Programs for Interpreter Testing

Skeletal program enumeration (SPE) can generate a great number of test programs for validating the correctness of compilers or interpreters. The classic SPE generates programs by exhaustively enumerating all possible variable usage patterns into a given syntactic structure. Even though it is capable of producing many test programs, the exhaustive enumeration strategy generates a large number of invalid programs, which may waste plenty of testing time and resources. To address the problem, this paper proposes a tree-based SPE technique. Compared to the state-of-the-art, the key merit of the tree-based approach is that it allows us to take the dependency information into consideration when producing test programs and, thus, make it possible to (1) directly generate non-equivalent programs, and (2) apply dominance relations to eliminate invalid test programs that have undefined variables. Hence, our approach significantly saves the cost of the naïve SPE approach. We have implemented our approach into an automated testing tool, IFuzzer , and applied it to test eight different implementations of Python interpreters, including CPython, PyPy, IronPython, Jython, RustPython, GPython, Pyston, and Codon. In three months of fuzzing, IFuzzer detected 142 bugs, of which 87 have been confirmed to be previously unknown bugs, of which 34 have been fixed. Compared to the state-of-the-art SPE techniques, IFuzzer takes only 61.0% of the time cost given the same number of testing seeds and improves 5.3% source code function coverage in the same time budget of testing.

Effect of Boron and Zinc Fertilization on Yield of Mustard (cv. BARI sarisha-14)

Bangladesh has to import a significant quantity of mustard seeds to meet its growing demand due to the seeds' high oil content and the oilcake, which is rich in protein and used as animal feed. The impact of zinc and boron on mustard (cv. BARI sarisha-14) output was investigated in a field experiment that was carried out at Bangladesh Agricultural University (BAU), Mymensingh, from October 2017 to March 2018. There are five levels of zinc (0, 2.5, 5, 7.5, and 10 kilograms per hectare) and boron (0, 0.5, 1.0, 1.5, and 2.0 kilogram per hectare) in this experiment. Three replications of the experiment, each with a plot size of three meters by two meters, were set up using a Randomized Complete Block Design (RCBD Height of the plant, number of branches per plant, total number of pods per plant, number of effective pods per plant, number of ineffective pods per plant, length of pod (cm), number of seeds per pod, weight of 1000 grains, seed yield, Stover yield, biological yield, harvest index and controlled treatment performed the lowest for these attributes were found when 2.5 kilogram per hectare of zinc were given. The treatment of 1.5 kilogram per hectare boron produced the highest plant height, number of branches per plant, total number of pods, number of effective pods per plant, number of non-effective pods per plant, length of pod (cm), number of seeds per pod, weight of 1000 grains, seed yield, stover yield, biological yield, and harvest index, while the controlled treatment produced the lowest performance. It is noticeable from the growth, yield, post-harvest procedures, and analytical results that the Zn 2.5 kilogram per hectare and B 1 kilogram per hectare combinations were appropriate for mustard farming