This study proposes a reliable and easy understandable statistical solution for the selection of varieties in the balanced and partially balanced lattice experiments, which are widely used in plant breeding studies. For this purpose, the Analysis of Means (ANOM) was adapted to the balanced, simple and triple lattice designs and an R function is developed for it. The adapted ANOM approach was compared with the Tukey, Duncan and Fisher’s LSD tests with respect to the actual type I error rate in all of the balanced, simple and triple lattice designs. In addition to this, the ANOM approach and Tukey test were examined comparatively using a hypothetical example. According to the simulation results, LSD and Duncan could not maintain the actual type I error rate at 5.00% under any conditions. This situation became more dramatic with the increase in the number of groups. While the actual type I error rate for LSD and Duncan tests varied between 54.36%-100.00% and 37.49%-99.96%, respectively, for ANOM and Tukey tests it varied between 4.64%-6.08% and 4.62%-6.45%, respectively. ANOM and Tukey tests were quite successful in terms of maintaining the actual type I error rate. However, since the number of groups in lattice designs was quite high, the given hypothetical example showed that it would be more understandable to use the ANOM method.

The basic need of humanity is food. The agricultural sector has had to use new technologies in food production in recent years. The increase in the world population has necessitated the agricultural sector to produce more. Therefore, in recent years, the use of technology in agriculture has increased and new developments have occurred. Especially Industry 4.0 technologies have become preferred by manufacturers with the convenience and added values they provide. In this research, participants’ views on their expectations from technology in agriculture, their views on the use of drones in agriculture, farmers’ views on technology use, and farmers’ views on the agricultural technology context were examined. In the research, information management systems in agriculture and a survey to determine students’ interest in agricultural projects were used as data collection tools. Rapidly developing technology in recent years makes the work of producers easier in the field of agriculture and offers researchers the opportunity to research new topics. Within the scope of this research, it is important to create this research in order to determine the needs and reveal the current situation. According to the research, the participants do not see themselves as having sufficient knowledge about technology in agriculture. The research results show that the participants do not follow the developments in agriculture in the digital environment. It is seen that the participants have partially sufficient knowledge about the use of drones in agriculture, that the use of drones will be beneficial and that the use of drones will replace the use of traditional agricultural tools.

One of the cornerstones of a developed economy is undoubtedly the agricultural sector. Agriculture is at the center of both human nutrition and economic activities. The use of drones, especially in the process of spraying fields, has the potential to increase the efficiency of agricultural production. Drones can be programmed to scan the field and spray pesticides on these areas. This allows farmers to manage the processes of protecting their crops and removing pests more effectively. Spraying with drones minimizes the negative effects encountered in spraying with tractor-drawn machines. Drones can easily reach places that tractor-drawn machine cannot reach and can spray more precisely. In addition, thanks to drones, the need for labor is also reduced, so that one person can spray a large area in a short time. In this study, the process of spraying with drones was observed in detail by a company with an unmanned aerial vehicle-2 (UAV) license for agricultural spraying. This modern spraying method using drones was meticulously evaluated step by step. In traditional methods, farmers or workers may be directly exposed to pesticides while spraying with tractor-drawn machines, but thanks to drones, this exposure is minimized, which provides a great advantage in terms of occupational health and safety (OHS). In addition, the speed of the work process, less use of water and pesticides, and the need for labor are among the advantages. However, the problem of not being able to connect to GPS, accidents that may occur under the command of the drone, and limitations such as adverse weather conditions can be considered disadvantages of drone spraying. The findings reveal how drone spraying has transformed agriculture.

Bu çalışma, aç bırakılmadan kırılmış arpa tüketimine dayalı tüy dökümü uygulamasında, farklı sıcaklık ve canlı ağırlıkların yumurta tavuklarının performansı, yumurta kalitesi, bazı organ ağırlıkları ve bacak kemiği özellikleri üzerindeki etkilerini değerlendirmeyi amaçlamıştır. Çalışmada, zenginleştirilmiş kafeslerde yetiştirilen 80 haftalık yaşta 288 adet kahverengi yumurtacı tavuk (Lohmann Brown-Classic) kullanılmıştır. Tavuklar tüy dökümü öncesi canlı ağırlık (hafif, orta ve ağır) ve sıcaklık (kontrol ve döngüsel sıcaklık) gruplarına ayrılmıştır. Tüy dökümü döneminde, tavuklar kontrol grubunda 21-22°C'de, döngüsel sıcaklık grubunda ise günlük 10:00-18:00 saatleri arasında 32°C'de ve 18:00-10:00 saatleri arasında 21-22°C'de tutulmuştur. Tüy dökümü programı gruplardaki tavukların 35 günde canlı ağırlıklarının %25'ini kaybetmesini sağlamış ve bu dönemde tavuk ölümü olmamıştır. Tavukların tüy dökümü sonrası performansları perdeli bir kümeste üç ay bahar ve bir ay yaz mevsimi koşullarında incelenmiştir. Tüy dökümü periyodundaki döngüsel yüksek sıcaklık uygulaması, verim dönemi performansını etkilememiş, ancak yumurtaların kırılma direnci, Haugh birimi ve ak indeksini iyileştirmiştir. Ayrıca, canlı ağırlığı yüksek tavuklarda, tüy dökümü sonrası dönemde yumurta ağırlığı, tibia ağırlığı, uzunluğu, genişliği, kırılma direnci ile femurun ağırlığını ve kırılma direncini artmıştır. Yumurta verimi, yumurta ağırlığı, yemden yararlanma oranı ve yumurta kalite özellikleri tüy dökümü sonrası dönemde, tüy dökümü öncesine göre önemli ölçüde iyileşmiştir. Tüy dökümü döneminde tavuklarda, dalak ağırlığı artarken, yumurtalık, yumurta kanalı ve karaciğer ağırlıkları önemli ölçüde azalmıştır. Tüy dökümü döneminde uygulanan döngüsel yüksek sıcaklığın ikinci verim döneminde bazı yumurta kalite özelliklerini olumlu etkilediği ortaya çıkmıştır.

Seed maturation in hemp is not homogeneous, and the harvest is done when the seeds are 70-80% mature. This study was carried out to determine the germination and emergence performance of hemp (Cannabis sativa L.) seeds at different maturation stages. Mature, semi-mature and immature seeds were used as material in the study. The study was carried out as two separate experiments, germination and emergence. The germination test was carried out in petri dishes and the emergence test in viols. Both experiments were carried out according to the randomized complete block design with 3 replications. Germination rate (%), shoot and root length (mm), shoot and root fresh weight (mg plant-1) and shoot and root dry weight (mg plant-1) parameters were investigated in the germination study. In the emergence study, the emergence rate (%), seedling and root length (mm), seedling and root fresh weight (mg plant-1), and seedling and root dry weight (mg plant-1) values were examined. In the germination study, semi-mature seeds germinated but did not develop. Therefore, no data could be obtained from other parameters except germination rate. In germination study, germination rate varied between 6.67 and 84.67%, shoot length 27.2-38 mm, root length 39.4-50.8 mm, shoot fresh weight 30.66-49.89 mg plant-1, root fresh weight 4.32-7.69 mg plant-1, shoot dry weight 3.25-7.99 mg plant-1, root dry weight 0.68-2.03 mg plant-1. In the emergence study, emergence rate ranged between 5.18-82.69%, shoot length 68-136.4 mm, root length 37.4-69.6 mm, shoot fresh weight 60.33-154.80 mg plant-1, root fresh weight 27.30-46.73 mg plant-1, shoot dry weight 3.97-10.24 mg plant-1, root dry weight 2.61-5.43 mg plant-1. In both experiments, the highest values obtained from all the examined traits were obtained from mature seeds. In both studies, the highest values were obtained from mature seeds for all traits examined. Semi-mature and immature seeds gave similar results in terms of the traits examined.

Bu çalışma, aç bırakılmadan kırılmış arpa tüketimine dayalı tüy dökümü uygulamasında, farklı sıcaklık ve canlı ağırlıkların yumurta tavuklarının performansı, yumurta kalitesi, bazı organ ağırlıkları ve bacak kemiği özellikleri üzerindeki etkilerini değerlendirmeyi amaçlamıştır. Çalışmada, zenginleştirilmiş kafeslerde yetiştirilen 80 haftalık yaşta 288 adet kahverengi yumurtacı tavuk (Lohmann Brown-Classic) kullanılmıştır. Tavuklar tüy dökümü öncesi canlı ağırlık (hafif, orta ve ağır) ve sıcaklık (kontrol ve döngüsel sıcaklık) gruplarına ayrılmıştır. Tüy dökümü döneminde, tavuklar kontrol grubunda 21-22°C'de, döngüsel sıcaklık grubunda ise günlük 10:00-18:00 saatleri arasında 32°C'de ve 18:00-10:00 saatleri arasında 21-22°C'de tutulmuştur. Tüy dökümü programı gruplardaki tavukların 35 günde canlı ağırlıklarının %25'ini kaybetmesini sağlamış ve bu dönemde tavuk ölümü olmamıştır. Tavukların tüy dökümü sonrası performansları perdeli bir kümeste üç ay bahar ve bir ay yaz mevsimi koşullarında incelenmiştir. Tüy dökümü periyodundaki döngüsel yüksek sıcaklık uygulaması, verim dönemi performansını etkilememiş, ancak yumurtaların kırılma direnci, Haugh birimi ve ak indeksini iyileştirmiştir. Ayrıca, canlı ağırlığı yüksek tavuklarda, tüy dökümü sonrası dönemde yumurta ağırlığı, tibia ağırlığı, uzunluğu, genişliği, kırılma direnci ile femurun ağırlığını ve kırılma direncini artmıştır. Yumurta verimi, yumurta ağırlığı, yemden yararlanma oranı ve yumurta kalite özellikleri tüy dökümü sonrası dönemde, tüy dökümü öncesine göre önemli ölçüde iyileşmiştir. Tüy dökümü döneminde tavuklarda, dalak ağırlığı artarken, yumurtalık, yumurta kanalı ve karaciğer ağırlıkları önemli ölçüde azalmıştır. Tüy dökümü döneminde uygulanan döngüsel yüksek sıcaklığın ikinci verim döneminde bazı yumurta kalite özelliklerini olumlu etkilediği ortaya çıkmıştır.

The study is aimed at investigating future changes in sustainability of olive farming by means of climate change, and changes in agricultural climatic suitableness and phenology of olive tree cultivation in the North Aegean sub-region of Türkiye mainly characterised with dry summer subtropical Mediterranean climate. According to projected changes based on RCP8.5 scenario, projected warming reaches an average of 5-6°C increase indicating most negative condition on olive cultivation. According to RCP8.5 scenario annual precipitation projections, present suitable areas of olive groves will decrease in the period of 2049-2073, and almost the entire study area will be in the category of medium suitable. With respect to projected Emberger Bioclimate classification, for RCP 8.5 scenario, there will be a significant increase in dry-sub humid areas in the period of 2049-2073. This increase will cover up the coastal areas in the period of 2074-2098, and even all the study region will be very likely characterised with dry-sub humid and semi-arid Mediterranean bioclimatic types except for some coastal areas. An increase of about 6°C is expected in maximum values of maximum air temperatures during the bud swelling periods in the spring, especially after 2050 under RCP8.5 scenario. This increase in extreme maximum temperatures may cause olive trees to bloom earlier and prolong the growth period. By regarding the high vernalization requirement of main olive variety in the study area, a 6°C temperature increase may significantly decrease olive yields and will force farmers to transition to new varieties with relatively low vernalization requirements. According to both RCP scenarios, there is a possibility of extension of suitable areas for olive cultivation towards low to mid-elevation plateaus and mid-elevation slopes of mountainous areas and high plateaus particularly facing suitable aspects to lower negative effects of projected future warming and dryness.

Plants need to accumalate heat to complete a particular or whole growth period. This accumalation depends on temperature thresholds above or below which plant growth ceases, and on air temperature. It can be speculated that more heat accumulation is available for plants due to rapid warming within three or four decades. This study presents more recent heat accumulation for plants, quantified using a useful index called growing degree day (GDD), for five locations (Söke, Kuşadası, Aydın, Sultanhisar and Nazilli) in Aydın, Türkiye, during the latest climatic normal period from 1991 to 2020. GDD values were calculated both in monthly basis from March through October, and in daily basis from March 1st to October 31st. Monthly GDD averages, as expected, showed a pattern that increased from March to July or August, then decreased thereafter till October. Range and standart deviation showed approximately an opposite pattern, suggesting higher uncertainity in relatively colder months. The results are expected to provide farmers or agricultural practitioners with the latest averages of GDD to predict plant growth and development.

Population growth has increased demand and diversified use of Irish potato which have increased its demand. The crop has become a major source of food and income for many households across the world. However, despite the high potential of about 30 tonnes per hectare (ha), smallholder farmers in Kenya realize low Irish potato yields ranging from 4-8 tonnes per ha due to limited uptake of agricultural technologies. The low yields calls for a profound understanding of the factors influencing the uptake agricultural technologies. The study analyzed the effects of the adoption of agricultural technologies on Irish potato yield in Ol Kalou Sub County. The study considered chemical fertilizer, certified seeds, fungicides, and farm machinery as the four main agricultural technologies that that affect yield. A descriptive cross-sectional research design was used to obtain data from a study population of 21,942 smallholder Irish potato farmers in Ol Kalou Sub County. A multiple-stage sampling technique was employed to generate a sample size of 385 respondents who provided primary data. Data collected was analyzed using endogenous switching regression model using STATA version 17. The study found that the average treatment effect on treated (ATT) was 10.21 bags per acre. In addition, the Endogenous switching regression model showed that the expected yield for the adopter increased by 51.83%. Out of the four technologies, the use of chemical fertilizers had the highest effect of 37% on yield. The study concluded that the adoption of agricultural technologies increases the yield of Irish potatoes. The study recommends that national and county governments should develop policy regulations such as training and extension services, market access, price support and public-private partnerships encouraging farmers to uptake agricultural technologies. The study also recommends that both levels of government should subsidize agricultural technologies, hence reducing the cost of adoption.