Informacja

Drogi użytkowniku, aplikacja do prawidłowego działania wymaga obsługi JavaScript. Proszę włącz obsługę JavaScript w Twojej przeglądarce.

English (EN)·Polski (PL)·Yкраїнський (UK)
Przejdź do strony domowej biblioteki Centralna Biblioteka Wojskowa Link otwiera się w nowym oknie Logo biblioteki Prolib Integro - strona głównaCentralna Biblioteka Wojskowa

Wyszukujesz frazę "yield evaluation" wg kryterium: Temat

  Lista filtrów
Wyrównaj
    Wyświetlanie 1-8 z 8
    Tytuł:
    Evaluation of yield, yield components and some physiological and qualitative traits of corn affected by chemical and biological nitrogen fertilizers
    Autorzy:
    Kordi, S.
    Ghanbari, F.
    Powiązania:
    https://bibliotekanauki.pl/articles/12616968.pdf
    Data publikacji:
    2019
    Wydawca:
    Uniwersytet Przyrodniczy w Lublinie. Wydawnictwo Uniwersytetu Przyrodniczego w Lublinie
    Tematy:
    plant cultivation
    maize
    corn
    yield evaluation
    yield component
    qualitative trait
    physiological trait
    chemical fertilizer
    biological fertilizer
    nitrogen fertilizer
    Opis:
    In order to evaluate the yield, yield components and some physiological and qualitative traits of corn treated with nitrogen fertilizers (biological, chemical and integrated), a field experiment was conducted at the Agricultural Research Station of Khorramabad during 2016 growing season. Treatments were arranged in a complete randomized block design with four replications. Experimental treatments consisted of 100% chemical fertilizer (urea), bio-fertilizer (nitroxin), integration of bio-fertilizer + 25% chemical fertilizer, integration of bio-fertilizer + 50% chemical fertilizer, integration of bio-fertilizer + 75% chemical fertilizer and the control. Results showed that the effect of different treatments of fertilizers on all measured traits, except for number of rows in each ear and carotenoids, was significant. The results indicated that integration of bio-fertilizer + 75% chemical fertilizer affected the highest grain yield (9.31 t ha–1), dry biological yield (20.96 t ha–1), number of kernels in each row (41.67), plant height (201.02 cm), hectoliter weight (0.82 g cm–3), chlorophyll b (0.43 mg g–1 FW), total chlorophyll (1.1 mg g–1 FW) and leaf area index (LAI) (4) and there was no significant difference among this treatment and 100% chemical fertilizer (N) and integration of bio-fertilizer + 50% chemical fertilizer treatments in all measured traits. The greatest harvest index (45.8) and grain protein-content (9.1%) resulted from the integration of biofertilizer + 50% chemical fertilizer treatment. Also the highest 1000-grains weight (281.13 g) and chlorophyll a (0.66 mg g–1 FW) were caused by 100% chemical fertilizer (urea) treatments. Results showed that integration of bio-fertilizer + chemical fertilizer could be considered as a means to reduce the consumption of chemical fertilizers for sustainable agriculture.
    Źródło:
    Acta Scientiarum Polonorum. Hortorum Cultus; 2019, 18, 1; 3-12
    1644-0692
    Pojawia się w:
    Acta Scientiarum Polonorum. Hortorum Cultus
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Yield evaluation of three sesame (Sesamum indicum L.) varieties intercropped with maize (Zea mays L.) in a Southern Guinea Savannah location, Nigeria
    Autorzy:
    Ijoyah, M.O.
    Iorlamen, T.
    Fanen, F.T.
    Powiązania:
    https://bibliotekanauki.pl/articles/11759.pdf
    Data publikacji:
    2014
    Wydawca:
    Przedsiębiorstwo Wydawnictw Naukowych Darwin / Scientific Publishing House DARWIN
    Tematy:
    yield evaluation
    sesame
    Sesamum indicum
    plant cultivar
    intercropping
    maize
    Zea mays
    Guinea
    savannah
    location
    Nigeria
    Africa
    Opis:
    Field experiments were conducted from July to November during the 2012 and 2013 cropping seasons, at the Research Farm, University of Agriculture, Makurdi, Nigeria, to evaluate the yields of two newly introduced sesame varieties (Ex Sudan and SN 603) against the commonly grown variety “E-8” under intercropping with maize variety „Oba 98‟. The trial area consisted of a total of seven treatments, replicated three times in a randomized complete block design. The results showed that, though maize yield was not significantly (P ≤ 0.05) affected by intercropping with sesame varieties, however, intercropped yield of sesame variety „Ex Sudan‟ was significantly (P ≤ 0.05) greater by 26.8 % and 25.6 % respectively, in years 2012 and 2013, compared to that obtained from intercropped sesame variety „SN 603‟, and by 19.5 % and 20.9 % respectively, in years 2012 and 2013, compared to that produced from intercropped popular sesame variety „E-8‟. Intercropping maize variety „Oba 98‟ with sesame variety „Ex Sudan‟ gave the highest total intercrop yield, greatest biological efficiency with a relative yield total values of 0.87 and 0.91 respectively, in 2012 and 2013. The combination also recorded the highest land equivalent ratio (LER), highest land equivalent coefficient, highest area x time equivalent ratio (ATER), highest total monetary returns (N584,200 and N588,600 respectively, in years 2012 and 2013) and highest monetary equivalent ratio (MER). The implication of study showed that sesame variety „Ex Sudan‟ performed best and could therefore be recommended as a potential replacement for the popular variety „E-8‟ under intercropping with maize variety „Oba 98‟ in Makurdi, Nigeria.
    Źródło:
    International Letters of Natural Sciences; 2014, 18
    2300-9675
    Pojawia się w:
    International Letters of Natural Sciences
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    An economic evaluation of the use of nitrogen fertilization and growth biostimulants in the production of maize grown for grain
    Ekonomiczna ocena stosowania nawożenia azotem i biostymulatorów wzrostu w produkcji kukurydzy uprawianej na ziarno
    Autorzy:
    Niewęgłowski, M.
    Szczygielska, M.
    Kapela, K.
    Sikorska, A.
    Krasnodębska, E.
    Zarzecka, K.
    Gugała, M.
    Powiązania:
    https://bibliotekanauki.pl/articles/13095217.pdf
    Data publikacji:
    2020
    Wydawca:
    Uniwersytet Przyrodniczy w Lublinie. Wydawnictwo Uniwersytetu Przyrodniczego w Lublinie
    Tematy:
    maize
    nitrogen fertilization
    biostimulant
    economic evaluation
    yield
    income
    profitability
    Źródło:
    Agronomy Science; 2020, 75, 4; 75-84
    2544-4476
    2544-798X
    Pojawia się w:
    Agronomy Science
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Applicability of Fuzzy and Fuzzy Analytic Hierarchy Process (Fuzzy AHP) Methods to Determine the Optimum Soil Depth in Land Suitability Evaluation for Irrigated Rice
    Autorzy:
    Mahabadi, Nafiseh Yaghmaeian
    Mahmoud Soltani, Shahram
    Powiązania:
    https://bibliotekanauki.pl/articles/2088177.pdf
    Data publikacji:
    2021
    Wydawca:
    Uniwersytet Marii Curie-Skłodowskiej. Wydawnictwo Uniwersytetu Marii Curie-Skłodowskiej
    Tematy:
    multi-criteria land evaluation
    fuzzy set theory
    rice
    yield
    Opis:
    The conventional Boolean logic models of land suitability assessment disregard the continuity concepts of the soil and landscape which might cause inaccurate evaluation and classification. To overcome this uncertainty and consequent constraints, the fuzzy set theories were introduced. Therefore, the current study was undertaken to estimate the optimum soil depth that is used in land suitability evaluation for irrigated rice through the fuzzy sets theory and analytic hierarchy process (fuzzy AHP) in Guilan Province, Iran. The square root and quantitative land suitability evaluation methods were employed to calculate traditional land suitability indices (for depths, 0-25, 0-50, 0-75, and 0-100 cm). Also, fuzzy and fuzzy AHP methods were used to explore new land indices. The Sarma similarity indices were used to compare the results of traditional and fuzzy methods for different soil depths. The results showed that the compatibility percentage between the representative pedons (0-100 cm) and the findings of this research (0-50 and 0-75 cm) were remarkable. Furthermore, the highest compatibility percentage of land suitability class was related to the comparison of these two former depths and 0 to 100 cm depths in each of the two used fuzzy methods. Besides, except for 0-25 cm depths, actual yield revealed a significant and positive correlation with the rest three soil pedon depths. These findings show that considering 0 to 50 cm soil depth might be a relevant alternative as the optimal depth to evaluate land suitability for rice in paddy fields in the Guilan rice-growing area. 
    Źródło:
    Polish Journal of Soil Science; 2021, 54, 1; 103-122
    0079-2985
    Pojawia się w:
    Polish Journal of Soil Science
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Improving Crop Yield Predictions in Morocco Using Machine Learning Algorithms
    Autorzy:
    Ed-Daoudi, Rachid
    Alaoui, Altaf
    Ettaki, Badia
    Zerouaoui, Jamal
    Powiązania:
    https://bibliotekanauki.pl/articles/24202898.pdf
    Data publikacji:
    2023
    Wydawca:
    Polskie Towarzystwo Inżynierii Ekologicznej
    Tematy:
    crop yield prediction
    machine learning algorithm
    statistical model
    model evaluation
    Opis:
    In Morocco, agriculture is an important sector that contributes to the country’s economy and food security. Accurately predicting crop yields is crucial for farmers, policy makers, and other stakeholders to make informed decisions regarding resource allocation and food security. This paper investigates the potential of Machine Learning algorithms for improving the accuracy of crop yield predictions in Morocco. The study examines various factors that affect crop yields, including weather patterns, soil moisture levels, and rainfall, and how these factors can be incorporated into Machine Learning models. The performance of different algorithms, including Decision Trees, Random Forests, and Neural Networks, is evaluated and compared to traditional statistical models used for crop prediction. The study demonstrated that the Machine Learning algorithms outperformed the Statistical models in predicting crop yields. Specifically, the Machine Learning algorithms achieved mean squared error values between 0.10 and 0.23 and coefficient of determination values ranging from 0.78 to 0.90, while the Statistical models had mean squared error values ranging from 0.16 to 0.24 and coefficient of determination values ranging from 0.76 to 0.84. The Feed Forward Artificial Neural Network algorithm had the lowest mean squared error value (0.10) and the highest R² value (0.90), indicating that it performed the best among the three Machine Learning algorithms. These results suggest that Machine Learning algorithms can significantly improve the accuracy of crop yield predictions in Morocco, potentially leading to improved food security and optimized resource allocation for farmers.
    Źródło:
    Journal of Ecological Engineering; 2023, 24, 6; 392--400
    2299-8993
    Pojawia się w:
    Journal of Ecological Engineering
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Evaluation of utility and biological traits of a Carniolan honeybee line
    Ocena cech użytkowych i biologicznych wybranej linii pszczół rasy kraińskiej
    Autorzy:
    Kołodziejczyk, D.
    Socha, S.
    Powiązania:
    https://bibliotekanauki.pl/articles/2623500.pdf
    Data publikacji:
    2020
    Wydawca:
    Zachodniopomorski Uniwersytet Technologiczny w Szczecinie. Wydawnictwo Uczelniane ZUT w Szczecinie
    Tematy:
    Carniolan bee
    honey bee
    biological trait
    utility evaluation
    honey yield
    Źródło:
    Acta Scientiarum Polonorum. Zootechnica; 2020, 19, 3; 39-46
    1644-0714
    Pojawia się w:
    Acta Scientiarum Polonorum. Zootechnica
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Measurement and evaluation of timber yields and corresponding non-timber forest products of selected tree species. An exploratory study on poplar, Acacia, Ulmus and Juglans tree species in Kyrgyzstan
    Autorzy:
    Agbenowu, Y.I.S.
    Attah, R.
    Powiązania:
    https://bibliotekanauki.pl/articles/2049706.pdf
    Data publikacji:
    2018
    Wydawca:
    Fundacja na Rzecz Młodych Naukowców
    Tematy:
    forest zone
    Kirgizstan
    timber yield
    wood measurement
    evaluation
    poplar
    Acacia
    Ulmus
    Juglans
    biomass
    volume
    net present value
    growth yield
    rotation age
    Opis:
    With issues of high timber demand and illegal logging in the forest zones of Kyrgyzstan, agroforestry may serve as a viable option for rectification. Yields of timber and expected income from the most popular tree species are in most cases lacking. The goal of this study is to evaluate the timber yields and non-timber forest product from Ulmus, Poplar, Acacia and Juglans tree species in Kyrgyzstan. More focus was allocated to Poplar as this is one of the most common and preferred tree species in Kyrgyzstan. A sample size of 420 trees was recorded from 18 stands with 20 trees measured in each stand with the exception of Juglans which were 6 stands with 9-17 trees each The study estimated (i) tree volume using allometric parameters (ii) age-biomass relationship (iii) Factual Branch Analysis model to estimate the above ground biomass of the different tree segments (iii) revenue deduction and NPV of Poplar trees and (iv) biological rotation Age to determine the suitable age for Poplar harvesting. The findings show that NPV is highest at 10 years for Poplar when it is being considered for fast-growing timber. The biological rotation age was, however, higher at around 17 years. Site-specific age-biomass model appears to be suitable for estimating tree biomass since the tree allometry was found to differ significantly between studied stands even with similar age ranges. The developed relationship and tree database can adequately be applied to estimate tree volume and biomass in similar site conditions in the studied region.
    Źródło:
    Environment, Earth and Ecology; 2018, 2, 1; 12-27
    2543-9774
    2451-4225
    Pojawia się w:
    Environment, Earth and Ecology
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Evaluation of several Asian pear cultivars in the climatic conditions of Lower Silesia
    Autorzy:
    Sosna, I.
    Powiązania:
    https://bibliotekanauki.pl/articles/11888047.pdf
    Data publikacji:
    2018
    Wydawca:
    Uniwersytet Przyrodniczy w Lublinie. Wydawnictwo Uniwersytetu Przyrodniczego w Lublinie
    Tematy:
    Lower Silesian region
    plant cultivation
    Asian pear
    Chojuro cultivar
    Hosui cultivar
    Kosui cultivar
    Nijisseiki cultivar
    Pyrus pyrifolia
    Shinseiki cultivar
    Shu Li cultivar
    fruit tree
    plant cultivar
    plant growth
    plant yield
    fruit yield
    blooming
    cultivar evaluation
    climate condition
    cultivation experiment
    Opis:
    The Asian pear tree (Nashi), originated in China and Japan, where it is commonly grown. In Europe, in Poland in particular, it remains almost unknown, despite the fact that its cultivation has been proven to be possible there. The aim of the experiment – carried out between 2008 and 2015 at the Fruit Experimental Station Samotwór, next to Wrocław – was to evaluate the growth intensity and yielding of several Asian pear tree cultivars: ‘Kosui’, ‘Shinseiki’, ‘Nijisseiki’, ‘Chojuro’, ‘Hosui’, and ‘Shu Li’; as well as the quality and biological value of their fruits. ‘Conference’, which is widespread in Europe, was chosen as the control variety. ‘Conference’, ‘Shu Li’, and ‘Hosui’ showed highest growth intensity, whereas the trees of ‘Shinseiki’ were the smallest. In terms of yields over the period of eight years following the planting, ‘Chojuro’ and ‘Shinseiki’ performed best, while the least fruits were obtained from the ‘Nijisseiki’ cultivar. Significantly heaviest and biggest fruits were collected from the Chinese ‘Shu Li’ cultivar. In 2012, Nashi fruits had similar carotenoid, calcium, and magnesium contents as the fruits of ‘Conference’.
    Źródło:
    Acta Scientiarum Polonorum. Hortorum Cultus; 2018, 17, 1; 107-114
    1644-0692
    Pojawia się w:
    Acta Scientiarum Polonorum. Hortorum Cultus
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
      Wyświetlanie 1-8 z 8

      Ta witryna wykorzystuje pliki cookies do przechowywania informacji na Twoim komputerze. Pliki cookies stosujemy w celu świadczenia usług na najwyższym poziomie, w tym w sposób dostosowany do indywidualnych potrzeb. Korzystanie z witryny bez zmiany ustawień dotyczących cookies oznacza, że będą one zamieszczane w Twoim komputerze. W każdym momencie możesz dokonać zmiany ustawień dotyczących cookies