Iraq Crude Oil Exports – July, August, September/ 2019

Table 1. Iraq Crude Oil Exports – July 2019Table 2. Iraq Crude Oil Exports – August 2019Table 3. Iraq Crude Oil Exports – September 2019

Standardization of time of budding and sweet orange cultivars on Carrizo rootstock

In sexual propagation of citrus long juvenility, genetic impurity and self incompatibility are the major problems. Hence the use of suitable rootstock is a pre-requisite in citrus propagation. Now a days, the cultivation of sweet orange is boosting up among citrus cultivation. Due to this, there is a great need for the evaluation of sweet orange cultivars onto an appropriate rootstock. A research trial was carried out in consideration with ‘Blood Red’, ‘Jaffa’ and ‘Valencia Late’ sweet orange cultivars T-budded on Carrizo rootstock at five different intervals of first week of July, August, September, October and February. The treatments were replicated thrice and statistically arranged in factorial randomized complete block design. As a result of the study significant variations were noticed in the performance of cultivars under study at various budding intervals. Out of the sweet orange cultivars ‘Blood Red’ was the first to initiate sprouting in 28.30 days with healing of bud union in 31.39 days, maximum survival (89.40%), plant height (22.93 cm), number of branches buddling-1 (1.14), leaf total nitrogen (1.89%), phosphorus (0.07%) and potassium (1.26%). Among budding intervals, the plants budded on the first week of September were the first to sprout in 26.46 days achieving maximum (23.04 cm) plant height, branches buddling-1 (1.15) root formation of (5.98 cm3) volume and survival percentage (91.99). Commercially, ‘Blood Red’ sweet orange cultivar budded in the first week of September can be cultivated for superior progeny.

PERFORMANCE ANALYSIS OF REGIONAL GOVERNMENT OWNED ENTERPRISES BANK PERKREDITAN RAKYAT MAJATAMA AND THE REGIONAL WATER SUPPLY COMPANY OF THE MOJOKERTO REGENCY GOVERNMENT IN FINANCIAL PERSPECTIVE

Purpose — The purpose of this study is to evaluate the performance of the Mojokerto Regency 2019 Regional Owned Enterprises (BUMD). Design/methodology/approach — The research method used is descriptive qualitative analysis. The stages of preparatory research determine the techniques used in the analysis. The next stage gathers indicators in measuring financial performance. Determine the criteria in accordance with the theory used for financial performance analysis. Collection and analysis of financial data of BPR Majatama and the Regional Water Company. Findings — The results of the study show that Majatama People's Credit Bank Study of the Gross Value of Bad Debt in July, August, September, and October 2019 are safe. Originality/value — This study evaluates the performance of the People's Credit Bank Majatama. It also evaluates the performance of the Regional Water Supply Company and provides performance recommendations. Practical Implication — The calculation of Gross and Net non-performing loans experiences a positive trend and is far from the maximum limit required by Bank Indonesia of 5%. Regional Water Supply Companies in July, August, September, and October 2019, management is advised to control the general administrative costs, increase revenue and reduce operating costs through efficiency and effectiveness to increase profits in the following month.

Are coastal deserts necessarily dew deserts? An example from the Tabernas Desert

Vapor condensation, whether due to dew or fog, may add a stable and important source of water to deserts. This was also extensively assessed in the Negev, regarded as a dew desert. Dew deserts necessitate a large reservoir of vapor, and are therefore confined to near oceans or seas. Yet, examples of such deserts are scarce. Here we try to assess whether the Tabernas Desert in SE Spain can be regarded as a dew desert, and may therefore facilitate the growth of certain organisms that otherwise would not survive the dry season. We analyze some of the abiotic conditions of four relatively dry months (June, July, August, September) in the Tabernas and Negev deserts (with the Negev taken as an example of a dew desert) during 2003–2012. The analysis showed substantially lower values of relative humidity (by 10–13%) in the Tabernas in comparison to the Negev, with RH ≥95% being on average only 0.9–1.1 days a month in the Tabernas in comparison to 9.7–13.9 days in the Negev. Our findings imply that the Tabernas Desert cannot be regarded as a dew desert, suggesting that rain will be the main factor responsible for the food web chain in the Tabernas.

11 Invivo-derived embryo pregnancy rates at Maddox Dairy from 2008 to 2018

Maddox Dairy, located in Riverdale, CA, USA, is a Holstein herd that milks 3500 cows with a 305-day mature-equivalent milk production of 12 800 kg, and they have been producing high genetic animals by embryo transfer (ET) since the early 1980s. Invivo-derived embryos from Holstein donors were transferred fresh (grade 1 or 2) or frozen (grade 1), at morula (4), early blastocyst (5), or blastocyst (6) stage, to virgin heifers (VH, natural oestrus, 13-15 months old) or lactating cows (LC, Presynch-Ovsynch, 86 days in milk, first or second lactation) 6 to 9 days after oestrus. Pregnancy diagnosis was done by transrectal ultrasonography at 32-46 days in VH and by the IDEXX PAG test at 30 days in LC. June, July, August, September, and October were called critical months (first service AI conception rate drops below 44%) and compared with the other months. The data from 32 503 ETs between January 2008 and December 2018 are summarised on Table 1. Pregnancy rates (PR) are lower for LC recipients than for VH. Embryo transfers performed 7 or 8 days after oestrus had higher PR in both types of recipients and embryos, but Day 6 and 9 oestrus are also used with fair results. The season does not seem to affect PR. There is not enough difference in the combination of stage and days from oestrus for invivo-derived embryos. These numbers do not belong to a planned experiment. Several management changes during the years were made, which make it very difficult to apply statistical methods to analyse the data correctly. They are used as a tool to make decisions in an attempt to improve future results. Table 1.Pregnancy rate (PR) of virgin heifers (top) and lactating cows (bottom)-fresh (SH) and frozen (OZ) invivo-derived embryo transfer1 Heat-months SH-ST4 SH-ST5 SH-ST6 SH-All OZ-ST4 OZ-ST5 OZ-ST6 OZ-All PR% n PR% n PR% n PR% n PR% n PR% n PR% n PR% n Heifers 6 d-CM 62 934 66 243 68 69 63 1246 56 473 58 219 62 42 57 734 6 d-OM 62 1623 67 489 69 211 64 2323 56 600 55 296 48 137 55 1033 6 d-T 62 2557 67 732 69 280 63 3569 56 1073 57 515 51 179 56 1767 7 d-CM 64 1506 68 495 67 221 65 2222 60 822 62 340 63 156 61 1318 7 d-OM 66 2723 68 1021 69 510 67 4254 57 1120 59 581 57 231 58 1932 7 d-T 66 4229 68 1516 69 731 67 6476 58 1942 60 921 60 387 59 3250 8 d-CM 65 1348 64 518 67 322 65 2188 59 595 64 258 63 108 61 961 8 d-OM 66 2166 68 886 70 510 67 3562 61 770 60 364 51 130 60 1264 8 d-T 66 3514 67 1404 69 832 66 5750 60 1365 62 622 56 238 60 2225 9 d-CM 60 109 56 43 70 20 60 172 60 5 33 6 50 4 47 15 9 d-OM 58 129 63 57 60 40 60 226 63 16 50 18 75 4 58 38 9 d-T 59 238 60 100 63 60 60 398 62 21 46 24 63 8 55 53 All-CM 64 3897 66 1299 67 632 65 5828 58 1895 61 823 63 310 60 3028 All-OM 65 6641 67 2453 69 1271 66 10 365 58 2506 58 1259 53 502 58 4267 All-T 65 10 538 67 3752 69 1903 66 16 193 58 4401 60 2082 57 812 59 7295 Lactating cows 6 d-CM 54 265 48 86 50 12 53 363 38 141 31 77 50 10 36 228 6 d-OM 49 463 52 203 45 56 50 723 46 101 48 54 59 27 48 182 6 d-T 51 728 51 289 46 68 51 1086 41 242 38 131 57 37 42 410 7 d-CM 54 755 59 274 56 103 55 1137 43 928 48 450 43 192 45 1570 7 d-OM 55 914 66 367 54 109 58 1393 46 1052 45 564 47 353 46 1969 7 d-T 55 1669 63 641 55 212 57 2530 45 1980 46 1014 46 545 45 3539 8 d-CM 63 252 68 82 76 33 65 368 48 219 56 80 42 33 50 332 8 d-OM 61 257 64 161 53 47 61 466 50 191 53 77 56 16 51 284 8 d-T 62 509 65 243 63 80 63 834 49 410 55 157 47 49 50 616 All-CM 56 1272 58 442 60 148 57 1868 44 1288 47 607 43 235 45 2130 All-OM 55 1634 62 731 51 212 56 2582 47 1344 46 695 48 396 47 2435 All-T 55 2906 60 1173 55 360 57 4450 45 2632 47 1302 46 631 46 4565 1ST=stage; CM=critical months (June, July, August, September, and October); OM=other months.

Observation of Fish Dissemination Pattern on Madura Coastal Using Segmentation of Satellite Images

Almost traditional fishermen still use manual methods to catch fish that rely on experience in fishing and information among fellow fishermen. This method is not effective for maximizing fish production. A good pattern or strategy is needed to increase fish production. In determining dissemination pattern of fish, it can be predicted from physical parameters such as temperature, salinity, chlorophyll, turbidity, total suspended solids, and colored dissolved organic matter using the Landsat 8 images. Â This research area is on the Island of Madura Coast. The pattern is determined by using Lagrange Interpolation and clustering using K-Means. The results of the study of the pattern of fish dissemination were then validated with data from the Dinas Kelautan dan Perikanan Jawa Timur. The results between fish patterns and validation data in 2015 showed similarities in January, February, March, May, June, July, August, September. In 2016, results between fish patterns and validation data showed that similarities in July, August, September, and December. In 2017, results between fish patterns and validation data showed similarities in November. 2015 has the most similarities between the patterns and validation data and the least similarity are 2017.

Dependence of Rainfall on Solar Activity Features

In the present paper, we have studied the statistical analysis between all India homogeneous rainfall (RF) with sunspot number (SN) during 1900-2014 (115-year period). We have calculated correlations coefficient of rainfall with sunspot number (SN) for annual and seasonal months: January, February (JF); March April May (MAM); June July August September (JJAS) and October November December (OND) and we have obtained high correlation ranging between 0.75 to 0.95. Our results show that rainfall is strongly influenced by sunspot number. Our study also indicates that occurrence of solar activity features play an important role for variability of rainfall.

Dependence of Rainfall on Solar Activity Features

In the present paper, we have studied the statistical analysis between all India homogeneous rainfall (RF) with sunspot number (SN) during 1900-2014 (115-year period). We have calculated correlations coefficient of rainfall with sunspot number (SN) for annual and seasonal months: January, February (JF); March April May (MAM); June July August September (JJAS) and October November December (OND) and we have obtained high correlation ranging between 0.75 to 0.95. Our results show that rainfall is strongly influenced by sunspot number. Our study also indicates that occurrence of solar activity features play an important role for variability of rainfall.

Distribution Trend of the Bottom Water at the Bay Mouth of Jiaozhou Bay

Based on the survey data of Jiaozhou Bay in May, June, July, August, September and October of 1980, the bottom water temperature and its horizontal distribution in Jiaozhou Bay were studied. The results showedthat the bottom water temperaturein Jiaozhou Bay rangedat a high level between 12.35℃to 25.72℃and a low level between 10.18℃to 24.58 ℃in May, June, July, August, September and October. From May to October, the bottom water temperature in Jiaozhou Bay was moderately high. In May, June, July and August, a high temperature zone formed around the waterinside the bay mouth, and the bottom water temperaturereached 12.35℃to 25.72℃.From May to August, the bottom water temperaturefirst increased in the watersinside the bay mouth, followed by the water at the bay mouth, withthe water outside the bay mouthas the end. In September and October, the temperature of the eastern coastal water outside Jiaozhou Bay ranged from 20.00℃to 24.43℃, and a high temperature zone formed around there. From September to October,the bottom water temperaturefirst decreased in the water inside the bay mouth, followed by the water at the bay mouth, with the water outside the bay mouthas the end. According to Yang Dongfang's definition of “Cryogenic Low Water Mass”, a cryogenic water mass formed in the bottom water at the bay mouthin September and extended widely among the water inside the bay mouth-at the bay mouth-in the southern part outside the bay mouthwith a temperature of 23.79℃to 23.91℃.

A comparative study of trends in rainfall over meteorological subdivisions of Uttar Pradesh

In this study investigation of trends in rainfall over two subdivisions (East and West) of Uttar Pradesh was carried out. In both subdivisions decrease in rainfall during monsoon and increase in summer season has been observed. However in both the subdivisions during second three decades (1957-1986) increased in rainfall has been found during post monsoon. In West subdivision there was increase during second three (1957-1986) decades in monsoon season which decreased in current three decades (1987-2016). However in East subdivision continues decrease in rainfall has been noticed during monsoon season and during post monsoon decrease of 14 mm and 12 mm in rainfall was recorded, moreover in summer season increase of rainfall (4mm and 5mm) was noticed in East and West U P respectively. No seasonal significant trend in rainfall was noticed in both the subdivisions. As far as monthly analysis concern there was increase in rainfall (4-5mm) in the month of May and June. In East U P January, February, March, July, August, September, October, November and December months recorded decrease in rainfall and February and April remained constant. Similarly in West U P January, April, July, August, September, October and November recorded decrease in rainfall and February, March and April remained unchanged. This analysis provide an insight into the variability of rainfall pattern in both the subdivisions and useful for researchers and planners for their planning of construction of water holding structures in future.